Data Scientist Jobs. Australia

Data Scientist » Brisbane, QLD - capability and deliver tangible outcomes. This position is tailor-made for a (senior) Data Scientist with software engineering...As a key contributor you will dive deep into hands-on coding, employing best practices to enhance data science... • Fri, 16 Feb • Peoplebank

Data Scientist » Dunnstown, Moorabool Area - Job Description: Apply data science approaches to design products that optimise factory operations Mars Petcare Australia home to market leading brands such as PEDIGREE®, DINE® & WHISKAS® 2-year fixed term contract based from our Melbourne office Here at Mars Petcare Australia , home of great brands such as Pedigree, Dine and Whiskas, we believe in Creating a Better World for our Pets. As our Data Scientist you will be responsible for support the delivery of our transformational Smart Factories programme. You’ll partner with global Supply Chain Data Science team to adopt global best practice data science models and coding standards for ANZ. What is the Integrated Supply Chain Transformation Program? Our ambition In ANZ is to become a truly Digital business, obsessed with focus, execution and winning. To do this, we are driving a significant Supply Chain Digital Transformation, building strong data and digital foundations to power advanced analytics, robotics and automation that transforms how we PLAN, MAKE and DELIVER in ANZ. The Smart Factories programme will transform how we MAKE product in ANZ. It is a wide ranging programme to build strong manufacturing data foundations and leverage these to optimise our factory operations now and In the future. What would be your key responsibilities? Apply data science approaches to design products that optimise factory operations Use machine learning techniques, visualizations, & statistical analysis to gain insight into manufacturing data sets – some readily available, and some you create and curate yourself Lead Smart Factory data science projects in collaboration with other team members (including with offshore talent partners) to ensure rapid development of quality, scalable and sustainable analytics solutions, with global best practices and consistency Collaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations Develop compelling stories that provide insight into the drivers of manufacturing performance Ensure outstanding delivery of manufacturing insight, analytics and data science for Pet Nutrition ANZ Qualifications and Experience: Bachelor’s degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline Nice to have – Masters / Degree with some computing, scientific, statistical or mathematical component 3 years varied technical experience in delivering statistical analytics, data science and insight on large-scale data sets across multiple sectors, including packaged goods and retail, Ideally In Supply Chain or Manufacturing Hands-on experience with Python (numpy, pandas, etc) is required; Familiarity with PySpark is also desirable Excellent communication skills, and interact effectively with internal stakeholders Familiarity with cloud-based computing services e.g. Azure, Databricks, etc. (Desirable) What can you expect from Mars? Best-in-class learning and development support from day one, including access to our in-house Mars University. Global health and wellbeing program to support flexibility and work-life balance. Opportunity to make a difference with our volunteer and ambassador programs. Be part of a company that is contributing to making the world a better place today and every day through on our sustainable generation plan. A culture that offers collaboration, leadership and rewards you for the role you play within Mars. Applications will close on Sunday 24th of March, 2024 Please note: This opportunity is a 2-year fixed term contract opportunity. There may be relocation on offer for selected candidates. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request. • Tue, 05 Mar • Mars

2025 AGGP Data Stream » Melbourne, Melbourne Region - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Hobart Region, Tasmania - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Geelong, Geelong Region - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Perth, Perth Region - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Newcastle Region, New South Wales - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Adelaide, Adelaide Region - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Sydney, Sydney Region - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Brisbane, Brisbane Region - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

2025 AGGP Data Stream » Canberra Region, Australian Capital Territory - Shape tomorrow. Become a data graduate in the Australian Government. We are looking for people who have a passion for data and want to use and hone their skills to build a better Australia. This is a real opportunity to give back to the public and help shape Australian decision-making. What we offer you The Australian Government has access to some of Australia’s largest and most unique data sets and provides endless opportunities for data professionals. As part of a graduate program in the Australian Government, you will: have access to over 40 different departments and agencies be placed in a permanent, full-time role receive generous leave entitlements be valued for your unique perspective and diverse views have the chance to work across all aspects of government such as policy development, program management and service delivery receive formal and on-the-job training and mentorship do meaningful work receive a competitive salary be able to make a difference to our society. We are recruiting Data Generalists, Data Scientists, Mathematicians/Statisticians. Which stream best suits you? Roles filled through the Data Generalist stream include Data Analysts, Data Engineers, Data Managers and Geospatial Analysts. Data Generalists lead the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Roles filled through the Data Scientist stream include Applied Data Scientists, Data Science Developers and Data Modellers. Data Scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Roles filled through the Mathematician/Statistician stream include Statisticians, Mathematicians and Evaluation Specialists. Mathematicians/Statisticians provide specialist statistical advice on the methods used to produce high quality official statistics and generate timely new insights. Mathematicians/Statisticians identify, research, implement and maintain a range of innovative statistical solutions to embrace new methods and data sources. Where you can work Most positions are available in Adelaide, Brisbane, Canberra, Geelong, Hobart, Melbourne, Newcastle, Perth, Sydney. Limited positions may be available in Bendigo, Darwin, Orange and Townsville. Are you eligible? To be eligible you must: be an Australian citizen at the time of application have completed at least an Australian Qualifications Framework Level 7 qualification (a Bachelor degree), or higher equivalent by 31 December 2024 have completed your most recent, eligible qualification between 1 January 2020 to 31 December 2024 be able to obtain and maintain a valid Australian Government security clearance if required be willing to undergo any police, character, health or other checks required. Visit www.abs.gov.au/careers to apply and for more information. • Tue, 05 Mar • Australian Bureau of Statistics

Environmental Scientist - Environment & Geosciences » Perth, WA - Environmental Scientist - Environment & Geosciences - ( 2400010Q ) Description Stantec are seeking talented... Environmental Scientist Graduates to join our Environmental and Geosciences team in WA & QLD. What we provide Accredited 2... • Tue, 05 Mar • Stantec

APS6 Data Scientist/Actuary » Sydney, NSW - as required. About you Must be an Australian citizen. 4-7 years of data analytics / scientist experience. Advanced R programming skills including data...Our client, a statutory Government agency, is seeking actuaries and/or data scientists with 4-7 years of data analytics... • Mon, 04 Mar • SKL Actuarial

Data Scientist » Melbourne, VIC - for our Pets. As our Data Scientist you will be responsible for support the delivery of our transformational Smart Factories...Job Description: Apply data science approaches to design products that optimise factory operations Mars Petcare... • Mon, 04 Mar • Mars

Data Scientist » Cremorne, VIC - Melbourne, VIC - looking for an eager Data Scientist to join our team. At PointsBet, we rely on insightful data to power our systems and solutions.... As a Data Scientist you will be responsible to deliver insights on a daily basis. You will have mathematical and statistical... • Mon, 04 Mar • Pointsbet • $100000 per year

Data Scientist » Melbourne CBD, Melbourne - About the role Reporting to the Head of Data Engineering and Architecture, you will play a crucial role in leveraging data to derive actionable insights and champion data-driven decision-making. You will work closely with a variety of business stakeholders to unlock high-value use cases through the implementation of industry best-practice design and the development of technical solutions. Work closely with business analysts and divisional stakeholders to understand business requirements and deliver fit-for-purpose AI/ML solutions. Undertake data preparation for analysis, including feature engineering, data cleaning, and preprocessing to ensure quality and suitability. Analyse large datasets to extract meaningful patterns, trends, and actionable insights. Build and maintain predictive models to solve high-value business problems. Communicate complex technical concepts to a business audience, including the generation of captivating visualisations and reports to tell data-driven stories. About you We are seeking a highly skilled individual with proven experience in statistical analysis, machine learning, and AI/ML projects. As a self-starter with strong communication skills, you excel in translating technical insights into actionable business recommendations and thrive in both independent and collaborative settings. Master's or Ph.D. in computer science, mathematics, engineering, or related field is highly desirable. Proven experience in data science with strong statistical analysis and machine learning skills. Expertise in cloud native AI/ML platforms, preferably AWS SageMaker. Proficiency in Python and SQL; experience with Jupyter and DevOps tools preferred. Knowledge of BI Concepts (i.e., ETL, dimensional modelling, data warehouse design, dashboarding). What's in it for you AFR Boss Best Places to Work Top 10 Manufacturing and Consumer 2023 Access to the world's most admired wines through our employee product allowance Flexible/hybrid environment to empower you to be your best Global opportunities across Australia & New Zealand, the US, Asia, UK/Europe Opportunity to build a career across multiple functions (we're really good at doing this) Structured development programs to support your health, wellbeing and career "TWEforME Day" - an additional day of leave each year, for you to do you Meeting-free Monday mornings (we all love this) What's it like to work here? We bring our whole selves, we're courageous and we deliver together - that's our DNA. We're a passionate bunch who enjoy working together, like to have fun and keep things down-to-earth. We're brave enough and care enough to have the right conversations to get the best outcome and are famous for our can-do attitude. We're definitely "glass half full" people and see challenges as opportunities and move with pace to achieve our goals. If you're ready to help us be the world's most admired premium wine company, please apply now It takes all varietals Just like the wide range and variety of brands in our wine portfolio, TWE embraces diversity and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin or on the basis of disability. If you require any assistance to be included in our process, please contact recruitmenttweglobal.com, quoting the job title and reference number. How to apply We move quickly at TWE and continually review applications, so if you don't want to miss out, apply today. Please note that cover letters are not required (we really mean this) All applicants will receive an email to invite them to complete online assessments that will cover three areas: personality profile, cultural fit and a cognitive assessment. The assessments should take around 30 minutes in total and you will be able to download a report at the end of it. We will then be in touch ASAP to update you on how your application is progressing. We ask you to try to complete the assessments ASAP - ideally within 24 to 48 hours. Note that we prefer to deal with you directly; we haven't briefed a recruitment agency on this role and won't be accepting CVs through any recruitment agency, so please apply directly. • Sun, 03 Mar • Treasury Wine Estates

Data Scientist » Dunnstown, Moorabool Area - Mathematics, Statistics & Information Sciences (Science & Technology) Reporting to the Head of Data Engineering and Architecture, you will play a crucial role in leveraging data to derive actionable insights and champion data-driven decision-making. You will work closely with a variety of business stakeholders to unlock high-value use cases through the implementation of industry best-practice design and the development of technical solutions. Work closely with business analysts and divisional stakeholders to understand business requirements and deliver fit-for-purpose AI/ML solutions. Undertake data preparation for analysis, including feature engineering, data cleaning, and preprocessing to ensure quality and suitability. Analyse large datasets to extract meaningful patterns, trends, and actionable insights. Build and maintain predictive models to solve high-value business problems. Communicate complex technical concepts to a business audience, including the generation of captivating visualisations and reports to tell data-driven stories. About you We are seeking a highly skilled individual with proven experience in statistical analysis, machine learning, and AI/ML projects. As a self-starter with strong communication skills, you excel in translating technical insights into actionable business recommendations and thrive in both independent and collaborative settings. Master’s or Ph.D. in computer science, mathematics, engineering, or related field is highly desirable. Proven experience in data science with strong statistical analysis and machine learning skills. Expertise in cloud native AI/ML platforms, preferably AWS SageMaker. Proficiency in Python and SQL; experience with Jupyter and DevOps tools preferred. Knowledge of BI Concepts (i.e., ETL, dimensional modelling, data warehouse design, dashboarding). What’s in it for you AFR Boss Best Places to Work Top 10 Manufacturing and Consumer 2023 Access to the world’s most admired wines through our employee product allowance Flexible/hybrid environment to empower you to be your best Global opportunities across Australia & New Zealand, the US, Asia, UK/Europe Opportunity to build a career across multiple functions (we’re really good at doing this) Structured development programs to support your health, wellbeing and career “TWEforME Day” – an additional day of leave each year, for you to do you Meeting-free Monday mornings (we all love this) What’s it like to work here? We bring our whole selves, we’re courageous and we deliver together – that’s our DNA. We’re a passionate bunch who enjoy working together, like to have fun and keep things down-to-earth. We’re brave enough and care enough to have the right conversations to get the best outcome and are famous for our can-do attitude. We’re definitely “glass half full” people and see challenges as opportunities and move with pace to achieve our goals. If you’re ready to help us be the world’s most admired premium wine company, please apply now It takes all varietals Just like the wide range and variety of brands in our wine portfolio, TWE embraces diversity and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin or on the basis of disability. If you require any assistance to be included in our process, please contact recruitmenttweglobal.com , quoting the job title and reference number. How to apply We move quickly at TWE and continually review applications, so if you don’t want to miss out, apply today. Please note that cover letters are not required (we really mean this) All applicants will receive an email to invite them to complete online assessments that will cover three areas: personality profile, cultural fit and a cognitive assessment. The assessments should take around 30 minutes in total and you will be able to download a report at the end of it. We will then be in touch ASAP to update you on how your application is progressing. We ask you to try to complete the assessments ASAP – ideally within 24 to 48 hours. Note that we prefer to deal with you directly; we haven’t briefed a recruitment agency on this role and won’t be accepting CVs through any recruitment agency, so please apply directly. Report this job advert Don’t provide your bank or credit card details when applying for jobs. J-18808-Ljbffr • Sun, 03 Mar • Treasury Wine Estates

Data Scientist » The Rocks, Sydney - Mathematics, Statistics & Information Sciences (Science & Technology) Mid-Level Data Scientist - ML and optimisation We are hiring a data scientist for an advanced Data Science Team. Talented peers, Big Data, Varied Problems, Impactful End-to-End work & more Join a talented Data Science practice with some excellent mentors in ML Focus on solving challenging logistics problems for millions of customers Use the latest data science and analytics tools including Google Cloud Platform Mid-Level Data Scientist - ML and optimisation We are hiring a data scientist for an advanced Data Science Team. Talented peers, Big Data, Varied Problems, Impactful End-to-End work & more Join a talented Data Science practice with some excellent mentors in ML Focus on solving challenging logistics problems for millions of customers Use the latest data science and analytics tools including Google Cloud Platform We are currently recruiting a Data Scientist for an advanced ML and Data Science team based in Sydney. In this role, you will work with some outstanding data science and engineering peers, often in cross-functional squads. Your work will include a mixture of mathematical optimisation for logistics / routing challenges and predictive modelling and data science. Location and work set-up: Sydney CBD location with hybrid work split of 2-3 days in office / work- from-home per week. Required Skills & Experience: An academic background in statistics, mathematics, actuarial studies Minimum of 2 years (ideal would be 4-5 years) of professional data science experience (excluding academic and research work) Strong skills using SQL and Python (including major ML libraries) with large commercial datasets, including production-grade code Experience working from end-to-end in data science; stakeholder engagement, data exploration, data management, research, model selection, feature engineering, model building, testing, optimising & deployment (some ML Ops) Full unrestricted working rights Beneficial Experience (not mandatory but likely to help you succeed): Expertise in Mathematical Optimisation techniques and algorithms Specific experience working in logistics, delivery or modelling for routing problems ML Ops skills / production ML experience: e.g. Kubernetes, VertexAI, CI/CD ML pipelines, any realtime pipelines / analytics experience Style of Data Science work: You’ll enjoy being part of a huge community of top-tier Data Scientists, Machine Learning Engineers, Data Engineers and professionals, but day-to-day, work in agile cross-functional squads where you will likely be the main data scientist alongside developers, testers, analysts and business stakeholders. This team has a very significant track-record of production ML at scale (GCP and Spark cluster, mature ML Platform) – with the focus of delivering huge benefits ($100m ) to the business and millions of customers You will enjoy staying at the cutting edge of ML, but also make pragmatic decisions weighing both business and engineering trade-offs for designing the ‘best solutions’ You will spend 10%-20% of your time on commercial research in fields of ML, AI, Data Science for new innovation use cases Salary Range: The salary range is: $108K-$120K base 11% Super 15% Bonus ( $133K - $152K total package, depending on experience) At this stage, we are only able to consider applicants with full Australian working rights. About the recruiter Your application will include the following questions: Which of the following statements best describes your right to work in Australia? Do you have a degree in Mathematics, Stasts or Actuarial Report this job advert Don’t provide your bank or credit card details when applying for jobs. Thinking about a career as a Data Scientist? Explore job and salary trends, in-demand skills and role reviews. J-18808-Ljbffr • Sun, 03 Mar • Talent Insights Group

Senior Data Scientist (Deep Learning Specialist) » New South Wales - of our complex data. We are looking for a Senior Data Scientist with strong expertise in applying deep learning techniques... information to power decisions in a wide range of organisations. We have access to very large data-sets of roof models, post... • Sat, 02 Mar • Nearmap

Senior Data Scientist (Deep Learning Specialist) » New South Wales - of our complex data. We are looking for a Senior Data Scientist with strong expertise in applying deep learning techniques... information to power decisions in a wide range of organisations. We have access to very large data-sets of roof models, post... • Sat, 02 Mar • Nearmap

Research Fellow, Computational Geospatial Data Scientist » Melbourne, VIC - by extending transdisciplinary knowledge and data creation methodologies necessary for the development of new liveability cycling... and environmental indicators included in the Australian Urban Observatory. The role will require a breadth of computer/spatial/data... • Fri, 01 Mar • RMIT University

Data Scientist » Dunnstown, Moorabool Area - If you have a passion for numbers, data, and complex problem solving, this Data Science Internship is a great choice. You will ideally have studied data or computer science and have a passion for machine learning, deep learning, and artificial intelligence. This Internship is for a technically minded Data Science student or graduate who wants to gain deep skills in Machine Learning, Deep Learning, and AI. Data Scientist Internship Responsibilities Work with Data Engineers to help use the collected data for research and analysis Analyse large amounts of data and pinpoint business and finance trends or patterns using algorithms Prepare external documentation for clients using gathered data Performing data visualisation using PowerBI and Python language Using Machine Learning and Deep Learning for predictive analysis Transforming data to make it usable and understandable for end users and clients What you will learn from this Data Scientist Internship? Gain practical experience using AWS cloud-based data technologies Experience using SQL and other various databases Develop deep technical skills and expertise on real-world projects using data science languages, such as Python or R Learning how to convert data using automation techniques Building your skills in predictive analysis How to apply for the Data Scientist Internship? To be considered for this Data Science Internship, you need to be a member of the CSA Internship Academy. To learn more about doing an Internship and to book a free Career Counselling and Internships phone consultation , click the button below. Career Training, Mentoring & Internship Program Management fees apply to become a member of the CSA Internship Academy. Click Apply to learn more. J-18808-Ljbffr • Fri, 01 Mar • Career Success Australia

Data Scientist » Evandale, Northern Midlands - If you have a passion for numbers, data, and complex problem solving, this Data Science Internship is a great choice. You will ideally have studied data or computer science and have a passion for machine learning, deep learning, and artificial intelligence. This Internship is for a technically minded Data Science student or graduate who wants to gain deep skills in Machine Learning, Deep Learning, and AI. Data Scientist Internship Responsibilities Work with Data Engineers to help use the collected data for research and analysis Analyse large amounts of data and pinpoint business and finance trends or patterns using algorithms Prepare external documentation for clients using gathered data Performing data visualisation using PowerBI and Python language Using Machine Learning and Deep Learning for predictive analysis Transforming data to make it usable and understandable for end users and clients What you will learn from this Data Scientist Internship? Gain practical experience using AWS cloud-based data technologies Experience using SQL and other various databases Develop deep technical skills and expertise on real-world projects using data science languages, such as Python or R Learning how to convert data using automation techniques Building your skills in predictive analysis How to apply for the Data Scientist Internship? To be considered for this Data Science Internship, you need to be a member of the CSA Internship Academy. To learn more about doing an Internship and to book a free Career Counselling and Internships phone consultation , click the button below. Career Training, Mentoring & Internship Program Management fees apply to become a member of the CSA Internship Academy. Click Apply to learn more. J-18808-Ljbffr • Fri, 01 Mar • Career Success Australia

Data Scientist » Australia - Salary HEW 7 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD campus, and hybrid ways of working About You The role is responsible for delivering key insights, information and data products to stakeholders across the university by leveraging techniques such as statistical modelling, machine learning and data visualisation. You will work in cross functional teams, established to deliver data and analytics solutions for our stakeholders. A key part of the role is to actively contribute to the development of best practices, methodologies and tools for how data science projects will be delivered in the university. To be successful in this position, you’ll have: 2 years' experience in data analytics or related quantitative roles. Experience in designing, coding, testing, and deploying data science product pipelines. (Preferred technologies include Python, SQL, Snowflake or alike). Experience in data modelling and development in data visualisation tools, e.g. PowerBI. Good interpersonal, consultation, communication and presentation skills and a proven ability to work with and present to diverse stakeholders across the organisation. Strong time management skills including the ability to work across multiple tasks with minimal supervision. What’s In It For You? Dedicated professional development day (guild days) once a fortnight with functional colleagues from other domains to share knowledge and develop best practices to incorporate in day-to-day delivery. Meeting free Friday afternoons to focus on work. Work as part of a domain-focused team in a wider centralised data and analytics team. Opportunities to directly support Research management staff and academics with strategic decision-making analytics projects. Learn the latest technologies - Tech stack: dbt, Snowflake, SQL, Python, PowerBI, Atlassian (JIRA, Confluence, bitbucket) Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. Office of the Chief Data and Analytics Officer Office of the Chief Data & Analytics Officer supports and enables RMIT’s business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for: Developing and implementing RMIT’s data and analytics strategy and ensuring ongoing alignment with university Leading information governance framework and activities across RMIT Defining requirements and standards for data and analytics technologies to be delivered by Information Technology Coordinating and governing data management activities for analytics and reporting Developing and coordinating advanced analytics capabilities to resolve key university challenges To Apply Please submit your CV and covering letter addressing your suitability for this position by clicking on the ‘ Apply ’ link at the top of this page. Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. LI-Hybrid Applications Close: 13 Mar 2024 11.59 pm Overview: Full-time, Continuing position Salary HEW 7 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD campus, and hybrid ways of working About You The role is responsible for delivering key insights, information and data products to stakeholders across the university by leveraging techniques such as statistical modelling, machine learning and data visualisation. You will work in cross functional teams, established to deliver data and analytics solutions for our stakeholders. A key part of the role is to actively contribute to the development of best practices, methodologies and tools for how data science projects will be delivered in the university. To be successful in this position, you’ll have: 2 years' experience in data analytics or related quantitative roles. Experience in designing, coding, testing, and deploying data science product pipelines. (Preferred technologies include Python, SQL, Snowflake or alike). Experience in data modelling and development in data visualisation tools, e.g. PowerBI. Good interpersonal, consultation, communication and presentation skills and a proven ability to work with and present to diverse stakeholders across the organisation. Strong time management skills including the ability to work across multiple tasks with minimal supervision. What’s In It For You? Dedicated professional development day (guild days) once a fortnight with functional colleagues from other domains to share knowledge and develop best practices to incorporate in day-to-day delivery. Meeting free Friday afternoons to focus on work. Work as part of a domain-focused team in a wider centralised data and analytics team. Opportunities to directly support Research management staff and academics with strategic decision-making analytics projects. Learn the latest technologies - Tech stack: dbt, Snowflake, SQL, Python, PowerBI, Atlassian (JIRA, Confluence, bitbucket) Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. Office of the Chief Data and Analytics Officer Office of the Chief Data & Analytics Officer supports and enables RMIT’s business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for: Developing and implementing RMIT’s data and analytics strategy and ensuring ongoing alignment with university Leading information governance framework and activities across RMIT Defining requirements and standards for data and analytics technologies to be delivered by Information Technology Coordinating and governing data management activities for analytics and reporting Developing and coordinating advanced analytics capabilities to resolve key university challenges To Apply Please submit your CV and covering letter addressing your suitability for this position by clicking on the ‘ Apply ’ link at the top of this page. Position Description - Data Scientist Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. LI-Hybrid Applications Close: 13 Mar 2024 11.59 pm RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Isla n der community. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Kassie (Senior Talent Acquisition Advisor), via talentsupportrmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers . We are a Circle Back Initiative Employer – we commit to respond to every applicant. About Us Culture Our Values inspire us, wherever we are in the world, and guide how we live and work together. Imagination. Integrity. Courage. Passion. Impact. Inclusion. What unites us is our purpose and our values; they are at the heart of who we are, what we stand for, how we make decisions and connect with each other. Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. RMIT exists to create transformative experiences for our students, getting them ready for life and work. You will be a part of a productive and collaborative team, who values working relationships and outcomes through open and inclusive planning, continuous information sharing and transparent work practices. J-18808-Ljbffr • Fri, 01 Mar • RMIT University

Data Scientist » Australia - If you have a passion for numbers, data, and complex problem solving, this Data Science Internship is a great choice. You will ideally have studied data or computer science and have a passion for machine learning, deep learning, and artificial intelligence. This Internship is for a technically minded Data Science student or graduate who wants to gain deep skills in Machine Learning, Deep Learning, and AI. Data Scientist Internship Responsibilities Work with Data Engineers to help use the collected data for research and analysis Analyse large amounts of data and pinpoint business and finance trends or patterns using algorithms Prepare external documentation for clients using gathered data Performing data visualisation using PowerBI and Python language Using Machine Learning and Deep Learning for predictive analysis Transforming data to make it usable and understandable for end users and clients What you will learn from this Data Scientist Internship? Gain practical experience using AWS cloud-based data technologies Experience using SQL and other various databases Develop deep technical skills and expertise on real-world projects using data science languages, such as Python or R Learning how to convert data using automation techniques Building your skills in predictive analysis How to apply for the Data Scientist Internship? To be considered for this Data Science Internship, you need to be a member of the CSA Internship Academy. To learn more about doing an Internship and to book a free Career Counselling and Internships phone consultation , click the button below. Career Training, Mentoring & Internship Program Management fees apply to become a member of the CSA Internship Academy. Click Apply to learn more. J-18808-Ljbffr • Fri, 01 Mar • Career Success Australia

Data Scientist » North Hobart, Hobart - If you have a passion for numbers, data, and complex problem solving, this Data Science Internship is a great choice. You will ideally have studied data or computer science and have a passion for machine learning, deep learning, and artificial intelligence. This Internship is for a technically minded Data Science student or graduate who wants to gain deep skills in Machine Learning, Deep Learning, and AI. Data Scientist Internship Responsibilities Work with Data Engineers to help use the collected data for research and analysis Analyse large amounts of data and pinpoint business and finance trends or patterns using algorithms Prepare external documentation for clients using gathered data Performing data visualisation using PowerBI and Python language Using Machine Learning and Deep Learning for predictive analysis Transforming data to make it usable and understandable for end users and clients What you will learn from this Data Scientist Internship? Gain practical experience using AWS cloud-based data technologies Experience using SQL and other various databases Develop deep technical skills and expertise on real-world projects using data science languages, such as Python or R Learning how to convert data using automation techniques Building your skills in predictive analysis How to apply for the Data Scientist Internship? To be considered for this Data Science Internship, you need to be a member of the CSA Internship Academy. To learn more about doing an Internship and to book a free Career Counselling and Internships phone consultation , click the button below. Career Training, Mentoring & Internship Program Management fees apply to become a member of the CSA Internship Academy. Click Apply to learn more. J-18808-Ljbffr • Fri, 01 Mar • Career Success Australia

Data Scientist » The Rocks, Sydney - CHEP exists at the intersection of creativity, technology, media, and data. Our vision is to Create What's Next – a constant mission to lead the industry in defining the shape of modern communications and advertising. The synchronization of our strategic positioning and our engaging creative, combined with the next generation of engagement planning ensure we deliver ideas that create the cut-through needed to deliver the strongest commercial performance. Today, creativity cannot be left to chance. One brand expression or big TV ad is simply not enough. CHEP Data as a creative differentiator Data is pivotal to everything done by CHEP and consequently the Data Science consultancy offering has been, and continues to be, pivotal to CHEP's ongoing success and is a critical enabler of our Connected Creativity philosophy. Data Science offers the ability to manipulate and interpret a business' most valuable asset to inform business transforming strategies. Add to this the increasingly complex technology environments clients are required to work with (both in their owned environment and the wider media landscape), strategic, analytical, and technological minds are required to help navigate them in new and creative ways. The Data Science team at CHEP is responsible for everything from Data Engineering and BI, through to predictive analytics and applications of AI. The unique blend of skills are what sets CHEP apart from the pack and makes us a truly unique team in the advertising industry. If you are someone who likes to be a part of innovation, creativity and pride yourself on creating accurate, robust and actionable data solutions, then you will fit right in at CHEP. Purpose of the Role As an experienced / mid-tier Data Scientist, you are well versed in advanced statistical analysis, data mining, and data visualisation techniques, to create solutions that enable enhanced decision making and business performance. The purpose of the Data Scientist is to combine data, computational science, and technology with advertising and marketing knowledge, to drive high-value insights, and use your first-class storytelling skills to powerfully communicate the key insights to our clients and the broader business. As a part of the Planning - Data team, you collaboratively work with Account Service Leads, Tech program Leads, clients and other areas of the business, to understand the business problems and key decisions to be solved through insightful analytics. You will use the data science toolkit to identify trends, patterns and insights from raw data and extract meaning from data, uncover insights and identify opportunities to inform business decision making. You will play a key role in the establishment of our Advanced Analytics capabilities and contribute to CHEP Networks evolving data science product suite, to ensure we continue to deliver first class capabilities to our clients, and increase profitability for CHEP Network. The CHEP data team is collaborative, and the successful candidate will work within a close-knit team, where members support each other to deliver first-class data services to our clients. The successful candidate will possess a blend of commercial acumen and technical data skills to be able to support our clients with their advanced analytics needs as a key member of the Data Science team. Key Responsibilities Collect, gather, analyse, and visualise information to create insights through analysis and modelling, disseminating these findings in clear and concise reports to clients. Work with clients to understand their business needs and propose and lead data science solutions. Lead the acquisition of additional data when required, to resolve specific business issues, enhance analytical capabilities, and inform decisions. Effectively record, manage and store information and data for future reference and reporting. Adhere to coding and knowledge sharing best practice, contributing to a cross skilled collaborative team. Automate information delivery where appropriate to processes and people to increase speed of information and decision making, allowing action to be taken with certainty, and at a lower cost. Build and contribute to a creative, forwards thinking analytics culture to drive best outcomes for clients. Contribute to the growth of CHEP Networks AI capabilities, bringing fresh ideas to the table. Experience and Capabilities Proficiency in data science toolsets (SQL, Python etc.) and algorithms (regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.) to create analytical assets and monitor these for ongoing accuracy. Experience across data environments and tools such as AWS (S3, Redshift etc.), Google Cloud Platform (BigQuery SQL, Big Query ML). Proficient in at least one visualization tool (Tableau, Datarama, Looker etc.) to develop data insights. Sound problem solving skills - ability to analyse and understand complex data problems and determine appropriate solutions. Strong analytical skills, with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy to provide business relevant insights and actionable models. Ability to engage and workshop with diverse clients' stakeholders, account services leads, tech program leads to deliver Data Science and Analytics solutions. Strong consultative skills, with a proven ability to work well with others and communicate effectively and clearly. Experience with Airflow Google Analytics Experience or deep interest in AI applications and methodology beneficial Experience in Advertising a bonus Job Specific Capabilities As a part of this team, you will be expected to have the following capabilities. Strong problem solving, data and analytical skills, numeracy and attention to detail Ability to work under pressure and meet deadlines or communicate early when blockers arise Ability to ensure quality of an individual's own work and ensure delivery meets CHEP standards Must be a team player Please note: All applicants must have the right to work in Australia. Clemenger Group is an equal opportunity employer and committed to building a diverse and inclusive workplace. We welcome people of all backgrounds and can assist with your application if you have a language or cultural special consideration, disability or impairment, or use assistive technology – simply contact us via careersclemenger.com.au. Register for weekly updates about similar job opportunities J-18808-Ljbffr • Fri, 01 Mar • Clemenger Group Limited

Data Scientist » The Rocks, Sydney - Helia, as Australia’s first Lenders Mortgage Insurance (LMI) provider, with over 50 years expertise in the Australian housing market are in the process of re-inventing ourselves. We exist to accelerate financial wellbeing through home ownership, now and for the future. Our mission is to create innovative and tailored solutions in partnership with our customers. We aim to do this efficiently and conveniently, leveraging state of the art technology and data solutions. TechOps follows a squad model – we form in self managing teams to solve key business problems. Each squad is full DevOps – they build, enhance, and operate their asset. Team members need to be ‘specialist generalists’ ie each person brings their key domain knowledge but also eager to work on other technologies or roles to ensure the squad meets its outcomes. To promote knowledge transfer, informal learning and solve problems in new ways we also form Communities of Practices to push forward new tools and techniques. The Data Scientist role works alongside our squads and our Advanced Analytics team. They will interact with the business and Product Owners to identify problem areas and then work with developers/engineers in squads to experiment and hypothesis how AI, open source models and out the box services in our strategic platforms (Microsoft, Appian, AWS, Snowflake) can solve these issues. Our Advanced Analytics team have built a number of predictive analytics using Machine Learning techniques and when we couple their work with the work done by our squads who have built new cloud based (AWS and Appian) applications magic can happen. This role will sit within out Data & Analytics team, and would suit someone with a background in software engineering, with some exposure to AI development or who has developed Bots or other automation applications. You should have 5 years experience, be inquisitive and looking to transition fully into Data Science. Your curiosity in the business and what’s happening in the data science industry will progress the capabilities of our solutions and development teams inside each squad – together we are strong. Responsibilities Champion the use of advanced analytics into our applications through knowledge sharing and socialisation of advanced analytics techniques; Adopt an iterative approach to initiatives, developing prototype solutions in Proof of Concepts (POCs) to test hypotheses, and embracing a learn-fast experimentation approach to solving complex problems; Utlise mathematical, statistical and machine learning techniques to solve business problems, explore new opportunities and generate insights from data; Involvement in all phases of the solution lifecycle including ideation, problem formulation, analysis, feature selection, model development, testing, documentation, deployment, presentation and story-telling of results and translation of insights into actionable recommendations for the business; Actively pursue open LLMs, beta programs and new features in our strategic platforms to test and iterate their capabilities and business value to Helia Look at AI tools and frameworks like Airflow, PyTorch and others and experiment if of value to our solutions and development community Look at our applications and work with the end users and Product Owners on how to introduce GenAI into the user experience and how to change how users interact with the applications and gain insights from our data Work with risk teams to help use AI & ML to target potential risk areas or compliance gaps for line 1 and line 2 risk functions Who you are Someone with experience in AI, Bot or automation application development of at least 5 years Worked with cloud-based products and services like Snowflake, Azure and AWS. Certifications will be a bonus. Advanced skills in python is highly regarded Mathematics, computer science or data science degree Experience of writing SQL queries to extract/interrogate relational Eager and quick to learn new technologies Experience in a number of AI Frameworks Storyteller to help explain to business resources on the experiment / technology / problem Have experience in integrating enterprise applications with ML or GenAI models You are disciplined with basics like version control and MLOps You think that your work is awesome, so you gladly show your work off in showcases At Helia, we are building a team focused on opportunities: creating brighter futures for our people. When you come to work at Helia, you’re joining an organisation that cares about what’s important to you. Whether it’s greater work-life balance, flexible working arrangements or looking after your wellbeing, we provide access to benefits that help support you both professionally and personally. Helia is a place where you can grow and make a difference. We provide a great learning culture, where cross collaboration, training and innovation happens to embrace and embed a customer service culture. We are based in the heart of North Sydney, with spacious offices and some of the most fantastic views in Sydney If you are interested in joining a company where you can realise your full potential and grow, we would love to hear from you We have a diverse business community: our people, our customers and communities are reflective of this and as an organisation we are committed to continually hiring a diverse workforce. We ensure our people always feel supported and we do this by our openness to flexible work options and our commitment to inclusion, regardless of career level, life-stage, or experience. About Us Helia (formerly Genworth) has proudly played a pivotal role in the property market since 1965. As Australia’s first Lenders Mortgage Insurance (LMI) provider, we are a specialist in our field and are dedicated to leading the way for years to come. For many Australians, owning your own home remains a lifetime aspiration, and we work with our customers and partners to help them achieve this dream at various stages of their home buying journey — whether they are looking to save for a deposit, purchase their first home, upgrade or manage retirement by unlocking equity in their home later in life. We are reimagining the home ownership experience to get you there faster. Our purpose is to accelerate financial wellbeing through home ownership, now and for the future. J-18808-Ljbffr • Fri, 01 Mar • Helia Group

Data Scientist » Australia - As a skilled professional seeking career growth, you deserve access to the best job opportunities available. Join Outdefine's Trusted community today and apply to premier job openings with leading enterprises globally. Set your own rate, keep all your pay, and enjoy the benefits of a fee-free experience. Data Scientist Immutable Web3 201-500 Sydney NSW, Australia Apply Now About the job Overview: We are now hiring a Data Scientist to support Immutable's design, development and marketing teams to ensure our platform and studio use data to make data-driven decisions. You will do this through quantitative investigation of user interactions, understanding the success of different features and making recommendations.You’ll Be Empowered To ????Ensure data-driven decisions are made across the Product, Engineering, Design, and Marketing teams by providing valuable insights and analysis.Conduct quantitative research and analysis of user interactions, identifying patterns and trends that can inform strategic decisions and improve the platform and studioAssess the success of different features, measuring their effectiveness, and providing recommendations on optimising them to enhance the user experience and achieve business objectivesDevelop and implement predictive models to forecast user behaviour, inform product development, and drive targeted marketing effortsCreate visualisations and generate reports that effectively communicate insights and findings to stakeholders, helping inform decision-making across the organisationHave close collaboration with various teams, including Product, Engineering, Design, and Marketing, to ensure that data analysis and recommendations align with the overall business strategy and objectivesWe'd Love You To Bring ????Advanced SQL skillsProven track record in data science or closely related roles, with at least 2-4 years of experience working on data-driven projects, preferably in a product, platform, or marketing-led companyProficiency in data analysis, modelling, and visualisation. Ability to apply statistical techniques, interpret complex data sets, and create clear and compelling data visualisations to communicate insights effectivelyStrong stakeholder management skillsInterest in emerging technologiesBonus Points For ✅Experience using Looker as a data visualisation and business intelligence tool to create custom reports and dashboards for stakeholdersKnowledge of behavioural psychology principlesFamiliarity with monetisation strategies and design principlesExperience with machine learning techniques and algorithms to develop predictive models and gain insights from complex data setsExperience designing and implementing A/B tests to evaluate the impact of different features, designs, or strategies on user behaviour and business outcomesA Bit About The TeamThis role will be part of the Immutable group data function. This team is responsible for sharing knowledge, monitoring performance and progress of products, identifying valuable insights, facilitating collaboration across global teams, promoting best practices, and democratising data by empowering people to use it.We are proud of the benefits that we offer for all of our employees globally. Here is a snapshot:Attracting The Best Global Talent????We commit to paying globally competitive salaries and contributions & we share our products' success through Employee Stock Options. We also support our US Employees with Medical and 401K Insurance???? While we offer flexible working arrangements, we have an epic head office in the heart of Sydney and offer remote office hubs around the globe via a WeWork all-access pass????We offer USD $500 WFH allowance to set up your home office and USD $600 per annum to put toward your internet and phone usage.Levelling up your growth???? We offer up to USD $1,350 per annum for any classes, courses or events to support your growth and development???? Enjoy access to free online courses via UdemyHelping you thrive????????♀️ Enjoy USD $800 per year to put toward your health and wellbeing???? Get 24/7 access to unlimited counselling for you and your family when you need it through our EAP Service???? Get premium access to mindfulness resources, online fitness classes and discounts at major retailers through PerkboxLeave When You Need It The Most????????????New parents receive 12 weeks of paid leave in our gender-neutral offer. The birthing parent also gets an additional six weeks of leave for rest and recovery leading up to and after birth. We also offer Miscarriage Leave and extra leave for IVF treatments???? Enjoy 2 additional paid annual leave days at the end of the year and a paid day off for your birthdayAdditional InformationImmutable is committed to building and fostering an inclusive, diverse workplace. We believe in incorporating everyone's perspectives and experiences as this has been a significant driver of our success so far. For this reason, we strongly encourage candidates of all backgrounds to get in touch. Even if you don't meet all the job listing requirements, do yourself (and us) a favour by still applying You'll likely bring something to the workplace that we haven't thought of yet, and we would love to hear from you.We are a 2022 Circle Back Initiative Employer – we commit to responding to every applicant.A note to recruitment agencies: Our internal team has this role covered, so there is no need to reach out - We don't accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes. Thank you Skills required SQL Javascript HTML Employee location Sydney NSW, Australia Not specified Workplace type hybrid Job type full time contract Compensation $0 /yr Currency ???????? USD Become a trusted member, apply to jobs, and earn token rewards Create a profile Create and customize your member profile. Complete assessment Earn 500 Outdefine tokens for becoming trusted member and completing your assessment. Apply for jobs Once you are a Trusted Member you can start applying to jobs. J-18808-Ljbffr • Fri, 01 Mar • Outdefine

Data Scientist » The Rocks, Sydney - We are hiring for a Data Scientist for a Global Consulting client in Melborne. Requirements Key Requirements Core exp as a Data Scientist – developing and optimizing algorithms using ML and non-ML techniques Exp in using Azure ML services, DataBricks About Us: Zone IT Solutions is Australia based Recruitment company. We specialize in ERP and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic and flexible solutions will help you source the IT Expertise you need. Our delivery Offices are in Melbourne, Sydney, Singapore, and India. If you are looking for new opportunities your profile at Careerszoneitsolutions.com or contact us at 0434189909 Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds and people with disabilities. Zone IT Solutions does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. J-18808-Ljbffr • Fri, 01 Mar • Zone IT Solutions

Data Scientist » Australia - Data Science Data Scientist - Zip Co. About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey. The Role is with Zip Co. Our client Zip.Co for whom we are hiring extensively - Zip Co, a major global player in the consumer - buy now pay later segment with HQ in Sydney, Australia. The group has presence in multiple countries including USA, Australia, New Zealand, UK and Canada and is increasingly expanding into newer markets. The company is listed on the Australian Stock Exchange as Zip Co, with a market capitalization of $5Bn. With a customer base of 4.5 million customers and 30,000 merchants, the company generates in excess of $5Bn in annual payments globally. Position: Data Scientist About the role: - As Data Scientist, you will leverage your creative and critical thinking skills to develop best-in-class models that have a meaningful impact on the Zip team. These models will support our credit and fraud risk, customer experience, marketing and beyond. - Having you aboard will enable us to have more models released to production, quicker iteration, and broader coverage of addressing business problems through scientific methods. - Core KPIs for this position correspond to extra revenue generated/costs saved from releases. - The role is also meant to support compliance, documentation, and knowledge sharing in regards to model governance & review. What you'll do: - Develop, validate and deploy ML models, optimization solutions, inference techniques to solve complex problems and communicate ideas to internal stakeholders - Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources to improve models - Maintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitations - Be ready to adapt to new tools/libraries/technologies/platforms - Actively partner with engineers to validate & deploy scalable solutions - Collaborate to gather insight from partners across the organization - Further develop expertise in data science and engineering through self-study, project exposure and guidance of senior team members What you'll bring: - Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred. - 3 years of Data Science experience - 2 years in financial services - Deep knowledge of Machine Learning Modeling. - Experience building and implementing models in production is preferred. - Proficient with Python - Proficient with SQL - Practical experience using Spark is a plus - Understanding Deep Learning methods is a plus - Technical understanding of algorithm complexity, probability& statistics - Self-driven with an aptitude for independent research & problem-solving - Ability to multi-task in a fast-paced environment is essential - Experience with Git J-18808-Ljbffr • Fri, 01 Mar • bluCognition

Data Scientist » Australia - The International Analytics team is looking for a Data Scientist to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Analysts and Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you You're excited about this opportunity because you will… Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Produce recommendations to cross-functional partners and drive experiments to validate your findings. Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities We're excited about you because you have… 3 years of experience in data analytics, consulting, or related quantitative role The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Experience leading /owning strategic projects to completion with a cross-functional team Very experienced with SQL queries, Basic ETL, Regression techniques Proficiency in at least one programming language, preferably Python or R Proficiency in one or more analytics & visualization tools Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave, and more. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. FlexibleWork Discover how we’re evolving & leading the way for the future of work Be the first to hear about our latest job openings, recruiting events, and exciting breakthroughs. J-18808-Ljbffr • Fri, 01 Mar • DoorDash

Data Scientist » The Rocks, Sydney - If you have a passion for numbers, data, and complex problem solving, this Data Science Internship is a great choice. You will ideally have studied data or computer science and have a passion for machine learning, deep learning, and artificial intelligence. This Internship is for a technically minded Data Science student or graduate who wants to gain deep skills in Machine Learning, Deep Learning, and AI. Data Scientist Internship Responsibilities Work with Data Engineers to help use the collected data for research and analysis Analyse large amounts of data and pinpoint business and finance trends or patterns using algorithms Prepare external documentation for clients using gathered data Performing data visualisation using PowerBI and Python language Using Machine Learning and Deep Learning for predictive analysis Transforming data to make it usable and understandable for end users and clients What you will learn from this Data Scientist Internship? Gain practical experience using AWS cloud-based data technologies Experience using SQL and other various databases Develop deep technical skills and expertise on real-world projects using data science languages, such as Python or R Learning how to convert data using automation techniques Building your skills in predictive analysis How to apply for the Data Scientist Internship? To be considered for this Data Science Internship, you need to be a member of the CSA Internship Academy. To learn more about doing an Internship and to book a free Career Counselling and Internships phone consultation , click the button below. Career Training, Mentoring & Internship Program Management fees apply to become a member of the CSA Internship Academy. Click Apply to learn more. J-18808-Ljbffr • Fri, 01 Mar • Career Success Australia

Data Scientist » Australia - ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation. ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20 years. 3,300 employees around the world develop our solutions, through 20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization. Our 120,00 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike. • Energy transition services • Energy supply & global commodities At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you. More info on GEMS Hub ( https://gems.engie.com ) or LinkedIn ( https://www.linkedin.com/company/engie-global-energy-management-solutions ). Job Description As Trading Data Scientist, you will be responsible for: Designing and implementing new business use cases, going through rotations in the business divisions. Acting as Data science expert for GEM (tools, methodology) Ensuring Market intelligence on Data Science topics Liaising with other Engie Data Science communities and projects The Trading Data Scientist will be based in the transversal Data team located in Paris and will report to the Chief Data Officer. Some of the initial use cases may include optimization of trading/hedging strategies, customer flow data and management of full supply contracts Profile Strong academic background, ideally from Engineering, Mathematics, Physics or Computing Experience in a commodity trading environment is a plus Power and gas markets fundamentals knowledge is a plus Technical and professional skills : Excellent research and analytical skills, with the ability to synthesize analysis into concrete value creation Strong Programming skills: Python, C# is a plus Team player Soft skills and competencies : Ability to work under pressure in a fast-paced environment Self-motivated and result driven with a high level of initiative and creative problem solving J-18808-Ljbffr • Fri, 01 Mar • Engie Rinnovabili S.P.A.

Data Scientist » Australia - CHEP exists at the intersection of creativity, technology, media, and data. Our vision is to Create What's Next – a constant mission to lead the industry in defining the shape of modern communications and advertising. The synchronization of our strategic positioning and our engaging creative, combined with the next generation of engagement planning ensure we deliver ideas that create the cut-through needed to deliver the strongest commercial performance. Today, creativity cannot be left to chance. One brand expression or big TV ad is simply not enough. CHEP Data as a creative differentiator Data is pivotal to everything done by CHEP and consequently the Data Science consultancy offering has been, and continues to be, pivotal to CHEP's ongoing success and is a critical enabler of our Connected Creativity philosophy. Data Science offers the ability to manipulate and interpret a business' most valuable asset to inform business transforming strategies. Add to this the increasingly complex technology environments clients are required to work with (both in their owned environment and the wider media landscape), strategic, analytical, and technological minds are required to help navigate them in new and creative ways. The Data Science team at CHEP is responsible for everything from Data Engineering and BI, through to predictive analytics and applications of AI. The unique blend of skills are what sets CHEP apart from the pack and makes us a truly unique team in the advertising industry. If you are someone who likes to be a part of innovation, creativity and pride yourself on creating accurate, robust and actionable data solutions, then you will fit right in at CHEP. Purpose of the Role As an experienced / mid-tier Data Scientist, you are well versed in advanced statistical analysis, data mining, and data visualisation techniques, to create solutions that enable enhanced decision making and business performance. The purpose of the Data Scientist is to combine data, computational science, and technology with advertising and marketing knowledge, to drive high-value insights, and use your first-class storytelling skills to powerfully communicate the key insights to our clients and the broader business. As a part of the Planning - Data team, you collaboratively work with Account Service Leads, Tech program Leads, clients and other areas of the business, to understand the business problems and key decisions to be solved through insightful analytics. You will use the data science toolkit to identify trends, patterns and insights from raw data and extract meaning from data, uncover insights and identify opportunities to inform business decision making. You will play a key role in the establishment of our Advanced Analytics capabilities and contribute to CHEP Networks evolving data science product suite, to ensure we continue to deliver first class capabilities to our clients, and increase profitability for CHEP Network. The CHEP data team is collaborative, and the successful candidate will work within a close-knit team, where members support each other to deliver first-class data services to our clients. The successful candidate will possess a blend of commercial acumen and technical data skills to be able to support our clients with their advanced analytics needs as a key member of the Data Science team. Key Responsibilities Collect, gather, analyse, and visualise information to create insights through analysis and modelling, disseminating these findings in clear and concise reports to clients. Work with clients to understand their business needs and propose and lead data science solutions. Lead the acquisition of additional data when required, to resolve specific business issues, enhance analytical capabilities, and inform decisions. Effectively record, manage and store information and data for future reference and reporting. Adhere to coding and knowledge sharing best practice, contributing to a cross skilled collaborative team. Automate information delivery where appropriate to processes and people to increase speed of information and decision making, allowing action to be taken with certainty, and at a lower cost. Build and contribute to a creative, forwards thinking analytics culture to drive best outcomes for clients. Contribute to the growth of CHEP Networks AI capabilities, bringing fresh ideas to the table. Experience and Capabilities Proficiency in data science toolsets (SQL, Python etc.) and algorithms (regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.) to create analytical assets and monitor these for ongoing accuracy. Experience across data environments and tools such as AWS (S3, Redshift etc.), Google Cloud Platform (BigQuery SQL, Big Query ML). Proficient in at least one visualization tool (Tableau, Datarama, Looker etc.) to develop data insights. Sound problem solving skills - ability to analyse and understand complex data problems and determine appropriate solutions. Strong analytical skills, with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy to provide business relevant insights and actionable models. Ability to engage and workshop with diverse clients' stakeholders, account services leads, tech program leads to deliver Data Science and Analytics solutions. Strong consultative skills, with a proven ability to work well with others and communicate effectively and clearly. Experience with Airflow Google Analytics Experience or deep interest in AI applications and methodology beneficial Experience in Advertising a bonus Job Specific Capabilities As a part of this team, you will be expected to have the following capabilities. Strong problem solving, data and analytical skills, numeracy and attention to detail Ability to work under pressure and meet deadlines or communicate early when blockers arise Ability to ensure quality of an individual's own work and ensure delivery meets CHEP standards Must be a team player Please note: All applicants must have the right to work in Australia. Clemenger Group is an equal opportunity employer and committed to building a diverse and inclusive workplace. We welcome people of all backgrounds and can assist with your application if you have a language or cultural special consideration, disability or impairment, or use assistive technology – simply contact us via careersclemenger.com.au. Register for weekly updates about similar job opportunities J-18808-Ljbffr • Fri, 01 Mar • Clemenger Group

Data Scientist » The Hill, Newcastle Area - Newcastle, Newcastle, Maitland & Hunter NSW Mathematics, Statistics & Information Sciences (Science & Technology) Employment Type : Temporary Full Time up to June 2027 with potential availably of ongoing employment Position Classification : Health Manager Level 3 Remuneration : $122,850.00 - $139,559.00 per annum plus superannuation Hours Per Week : 38 Requisition ID : REQ470461 Location: Newcastle or Sydney Applications Close: 13 March 2024 – 11:59pm Please note; Applications are being reviewed as they are received, therefore please ensure you submit the completed version when finalising your application. Applications will not be accepted after the close date. Shortlisted candidates will receive an interview initiation as applications are completed ad reviewed. Successful candidates will commence on 20 May 2024, followed by Epic training and orientation. To expedite our recruitment process, we rely on your responsiveness and prompt action. If you are successful in progressing through the process, please address all requests within specified timeframes and continue to monitor your email for updates. Your cooperation is greatly appreciated at this time. About the opportunity Do you want to join an amazing team and program that is going to change the way NSW Health Pathology provides quality patient care and analytical services? This position is for you At NSW Health Pathology, we are creating better health and justice systems. We are currently undertaking our largest digital health transformation initiative to date, which will improve the way we provide patient care, as well as how we provide forensic and analytical science services to help solve crimes. We are looking for capable data science professionals with expertise in data engineering, BI development, diagnostic and predictive analytics for a once in a lifetime opportunity to contribute to the development of a modern, integrated medical record system that will transform healthcare delivery across the state. As members of the NSW Health pathology Data and Insights team, successful candidates will support Business Intelligence capabilities within the Fusion Program, which seeks to implement the Epic Medical Record system across New South Wales. We value candidates with strong critical and scientific thinking and a healthy dose of creative problem solving. Prior experience in the healthcare domain is an added plus. All successful candidates will receive extensive training on the Epic medical record system as part of the onboarding process. What we can offer you Accrued Days Off in addition to Annual Leave Generous salary packaging options and other fringe benefits Corporate wellbeing programs, including the Fitness Passport Learning and development opportunities, including in-house training with RTO My Health Learning What you'll be doing The Data Scientist is responsible for undertaking data extraction, exploration, analysis and dissemination of insights to key executive stakeholders across NSW Health Pathology and NSW Health as required. This includes leading : the development of analytical solutions and dashboards that provide key insights to support informed decision making in relation to strategic and operational priorities for NSW Health Pathology the adoption of NSWHP approved best practices and standards for the collection and curation of data sources, development and maintenance of analytical tools and the dissemination of analytical output the ethical use of data and analytical products and the growth of data and analytical literacy across the enterprise. The Data Scientist will also collaborate with other teams within NSW Health Pathology by rapidly exploring and appraising new sources of pathology related data, developing and testing statistical and machine learning models, and by further developing prototype models into automated and scalable tools, dashboards and interactive reports for non-specialist end-users Interested in joining Australia’s largest public pathology service? Apply now by addressing the following questions: Relevant tertiary qualifications in statistics, machine learning, computer science or a related discipline and/or prior experience in data modelling and analytics in a complex organisation. Evidence of advanced analytic skills, data processing and modelling skills including advanced proficiency and experience in the use of the Microsoft BI Platform and its tools to undertake complex analysis, report design, data visualisation and the presentation of information to a variety of audiences at a senior level. Experience and expert knowledge of cloud computing analytics infrastructure including integration tools such as Azure Synapse Analytics or AWS Glue High level experience with pathology services, the NSW Health funding model and pathology related health data systems including Laboratory Information Systems, Patient Flow data systems, workforce and financial data systems. Demonstrated interpersonal, negotiation, written, verbal and presentation skills, leadership skills, the ability to build and maintain collaborative working relationships with a diverse range of stakeholders and positively interact and influence to achieve best outcomes. Background in building and deploying a variety of analytics across a large complex organisation including effectively documenting processes and procedures for management and staff and providing analytic support, advice, mentorship and / or supervision to less experienced data analysts. Vendor management including scope of works development, contracting and contract management throughout vendor engagement to its conclusion. Demonstrated understanding of privacy and health/personal information legislation, policies and standards. Need more information? 1) Click here for the Position Description 2) Find out more about applying for this position For role related queries or questions contact Suranga Kasturi on suranga.kasturihealth.nsw.gov.au Occupational Assessment, Screening and Vaccination Against Specified Infectious Diseases All NSW Health workers are required to have completed a primary course of a COVID-19 vaccine which has been approved or recognised by the Therapeutics Goods Administration (TGA). Additionally, Category A workers are required to receive a booster dose three months after completing the primary course of COVID-19 vaccinations. New applicants must have completed the vaccination course prior to commencement with NSW Health, or provide an approved medical contraindication certificate (IM011 immunisation medical exemption form) certifying the worker cannot have any approved COVID-19 vaccines available in NSW. Acceptable proof of vaccination is the Australian Immunisation Register (AIR) Immunisation History Statement or AIR COVID-19 Digital Certificate. Booster doses are highly recommended for all health care workers who have completed the primary course of COVID-19 vaccinations. New to NSW Health Pathology? The preferred candidate may be required to undergo a functional assessment prior to appointment. Talent Pool If the selection panel identifies more than one suitable candidate for the role, an eligibility list will be created for future temporary and casual vacancies. Our Commitment to Diversity and Inclusion NSW Health Pathology is an equal opportunity employer committed to creating an inclusive workplace. We seek to recruit from diverse applicants and create teams with skills, perspectives and experiences that complement each other at work. We welcome suitably qualified applicants regardless of age, ethnicity, socio-cultural background, disability, sexual orientation or gender identity. Report this job advert Don’t provide your bank or credit card details when applying for jobs. Thinking about a career as a Data Scientist? Explore job and salary trends, in-demand skills and role reviews. J-18808-Ljbffr • Fri, 01 Mar • NSW Health Pathology

Data Scientist » Melbourne, Melbourne Region - About the role Reporting to the Head of Data Engineering and Architecture, you will play a crucial role in leveraging data to derive actionable insights and champion data-driven decision-making. You will work closely with a variety of business stakeholders to unlock high-value use cases through the implementation of industry best-practice design and the development of technical solutions. - Work closely with business analysts and divisional stakeholders to understand business requirements and deliver fit-for-purpose AI/ML solutions. - Undertake data preparation for analysis, including feature engineering, data cleaning, and preprocessing to ensure quality and suitability. - Analyse large datasets to extract meaningful patterns, trends, and actionable insights. - Build and maintain predictive models to solve high-value business problems. - Communicate complex technical concepts to a business audience, including the generation of captivating visualisations and reports to tell data-driven stories. About you We are seeking a highly skilled individual with proven experience in statistical analysis, machine learning, and AI/ML projects. As a self-starter with strong communication skills, you excel in translating technical insights into actionable business recommendations and thrive in both independent and collaborative settings. - Master's or Ph.D. in computer science, mathematics, engineering, or related field is highly desirable. - Proven experience in data science with strong statistical analysis and machine learning skills. - Expertise in cloud native AI/ML platforms, preferably AWS SageMaker. - Proficiency in Python and SQL; experience with Jupyter and DevOps tools preferred. - Knowledge of BI Concepts (i.e., ETL, dimensional modelling, data warehouse design, dashboarding). What's in it for you - AFR Boss Best Places to Work Top 10 Manufacturing and Consumer 2023 - Access to the world's most admired wines through our employee product allowance - Flexible/hybrid environment to empower you to be your best - Global opportunities across Australia & New Zealand, the US, Asia, UK/Europe - Opportunity to build a career across multiple functions (we're really good at doing this) - Structured development programs to support your health, wellbeing and career - "TWEforME Day" - an additional day of leave each year, for you to do you - Meeting-free Monday mornings (we all love this) What's it like to work here? We bring our whole selves, we're courageous and we deliver together - that's our DNA. We're a passionate bunch who enjoy working together, like to have fun and keep things down-to-earth. We're brave enough and care enough to have the right conversations to get the best outcome and are famous for our can-do attitude. We're definitely "glass half full" people and see challenges as opportunities and move with pace to achieve our goals. If you're ready to help us be the world's most admired premium wine company, please apply now It takes all varietals Just like the wide range and variety of brands in our wine portfolio, TWE embraces diversity and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, age, national origin or on the basis of disability. If you require any assistance to be included in our process, please contact recruitmenttweglobal.com, quoting the job title and reference number. How to apply We move quickly at TWE and continually review applications, so if you don't want to miss out, apply today. Please note that cover letters are not required (we really mean this) All applicants will receive an email to invite them to complete online assessments that will cover three areas: personality profile, cultural fit and a cognitive assessment. The assessments should take around 30 minutes in total and you will be able to download a report at the end of it. We will then be in touch ASAP to update you on how your application is progressing. We ask you to try to complete the assessments ASAP - ideally within 24 to 48 hours. Note that we prefer to deal with you directly; we haven't briefed a recruitment agency on this role and won't be accepting CVs through any recruitment agency, so please apply directly. • Fri, 01 Mar • Treasury Wine Estates

Data scientist » Australia - Also known as: Data quality manager, Data manager, Data engineer Is this role right for you? You’ll need strong analytical and problem-solving skills, and excellent attention to detail. You’ll be highly skilled in programming languages and tools, and know how to think strategically to connect data possibilities with business needs. You must also be a good communicator because you will need to engage with stakeholders to understand requirements. What are some example projects or experiences? Data scientists take raw data and turn it into information and insights that people can use to make decisions. They play a central role in imagining the future of passenger and freight rail operations. With millions of people and tonnes of freight moving across the country every day, the careful analysis of data helps improve efficiency and reliability. It also enables forecasting to support accurate future planning. What is the work environment like? You’ll work in an office with a team of engineers, business analysts, and IT professionals. You’ll use specialised data tools to create algorithms and data models that answer critical questions for the organisation and business users. Your work could be used to redesign passenger network schedules, improve the efficiency of rail freight movements, or design a new tram network. You can find work as a data scientist all around Australia. Most jobs are in cities and towns. Data scientists typically require a university degree in computer science, information technology, statistics, or mathematics. Specialist post-graduate qualifications in data science are highly desirable. Our industry values diverse personal and work experience. Many employers can provide you with opportunities to gain new qualifications and industry experience to help you succeed. Salaries may vary outside of these ranges, based on company size and location, level of experience, competence and time in role. J-18808-Ljbffr • Fri, 01 Mar • Work in Rail

Data Scientist » Australia - Brisbane CBD Permanent AU$121,000 - AU$130,000 per year Outstanding learning and development opportunities in real-time analytics WFH hybrid work environment About Our Client This globally recognised mining equipment provider is looking to grow their existing Data and Analytics team in line with some exciting data related projects coming up in 2024. Job Description Currently a team of 5 (including 2 existing Data Scientists/Asset Performance Analysts, you would be tasked with building and developing data solutions to a range of interesting technical problems and projects, involving real-time analytics, predictive analytics, and machine learning. You will be empowered and trusted to use your academic mindset to research and find the best approach to a solution (because not every problem can be solved the same way) and use the most appropriate tools and techniques to achieve the optimal outcome. The Successful Applicant Key Skills and Experience Strong, demonstrated skills and experience using Python. Alteryx, KNIME, or similar workflow optimisation tools would be beneficial. While not essential, familiarity with or exposure to inventory management/optimisation would be beneficial. Exposure to (or at least a genuine interest in learning) real-time data analytics or predictive analytics tools and techniques. Ability to deal with ambiguity by engaging directly with stakeholders and SMEs to extract information, understand requirements, and collaborate with your team to build a suitable solution. An academic mindset, with the ability to research appropriate tools and techniques in order to solve technical problems. What's on Offer Outstanding learning and development opportunities in real-time analytics, predictive analytics, and machine learning. Brisbane CBD office location Flexible hours Friendly, collaborative, skilled team of Data Scientists and Data Analysts from a diverse range of technical and non-technical backgrounds. We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know . PageGroup acknowledge and pay our respects to the Traditional Custodians of the land we operate on. J-18808-Ljbffr • Fri, 01 Mar • Michael Page Australia

Data Scientist » Largs North, Port Adelaide Area - If you have a passion for numbers, data, and complex problem solving, this Data Science Internship is a great choice. You will ideally have studied data or computer science and have a passion for machine learning, deep learning, and artificial intelligence. This Internship is for a technically minded Data Science student or graduate who wants to gain deep skills in Machine Learning, Deep Learning, and AI. Data Scientist Internship Responsibilities Work with Data Engineers to help use the collected data for research and analysis Analyse large amounts of data and pinpoint business and finance trends or patterns using algorithms Prepare external documentation for clients using gathered data Performing data visualisation using PowerBI and Python language Using Machine Learning and Deep Learning for predictive analysis Transforming data to make it usable and understandable for end users and clients What you will learn from this Data Scientist Internship? Gain practical experience using AWS cloud-based data technologies Experience using SQL and other various databases Develop deep technical skills and expertise on real-world projects using data science languages, such as Python or R Learning how to convert data using automation techniques Building your skills in predictive analysis How to apply for the Data Scientist Internship? To be considered for this Data Science Internship, you need to be a member of the CSA Internship Academy. To learn more about doing an Internship and to book a free Career Counselling and Internships phone consultation , click the button below. Career Training, Mentoring & Internship Program Management fees apply to become a member of the CSA Internship Academy. Click Apply to learn more. J-18808-Ljbffr • Fri, 01 Mar • Career Success Australia

Senior Data Scientist - Marketing Data Science » Australia - In this role, you will: Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work. Unify business requirements across multiple teams and devising scaled data solutions. Evangelize and drive adoption of the data products that you and the team develop. Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges. Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them. Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations. Partner with cross-functional teams to inform, influence, and execute strategy decisions Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends. You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian Minimum Qualifications / Your background: 5 Years of Experience in Data Science or related fields Proficiency in SQL AND another data manipulation programming language (e.g Python, R) Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills Ability to craft analysis into well-written and persuasive content Desirable Qualifications 7 Years of Experience in Data Science or related fields OR 5 Years of experience in Data Science along with a post-graduate degree or equivalent in a related field Experience utilizing causal inference for marketing measurement Experience influencing functional leadership and above to adopt data solutions An understanding of the SaaS business model and key metrics J-18808-Ljbffr • Fri, 01 Mar • Karkidi

Research Fellow, Computational Geospatial Data Scientist » Melbourne, VIC - by extending transdisciplinary knowledge and data creation methodologies necessary for the development of new liveability cycling... and environmental indicators included in the Australian Urban Observatory. The role will require a breadth of computer/spatial/data... • Fri, 01 Mar

Data Analyst / Data Scientist » Sydney, NSW - available data set across ANZ in oncology and genomics Collaborative and fun start-up culture with a focus on agility and innovation... opportunity to work with the richest clinically available data set across ANZ in oncology and genomics. About the Opportunity... • Fri, 01 Mar • Healthcare Professionals Group

Data Scientist » Melbourne, VIC - About the role Reporting to the Head of Data Engineering and Architecture, you will play a crucial role in leveraging... data to derive actionable insights and champion data-driven decision-making. You will work closely with a variety... • Fri, 01 Mar • Treasury Wine Estates

Data Scientist – Water Quality Analytics (18 month term) » New South Wales - Ready to make a splash in your career? WaterNSW is seeking an experienced Data Scientist (Full Time, 18 month term... for wide ranging applications. Provide support to experienced water quality scientists with quality assured data, modelling... • Thu, 29 Feb • WaterNSW

Research Fellow (Postdoctoral), Computational Geospatial Data Scientist » Melbourne, VIC - by extending transdisciplinary knowledge and data creation methodologies necessary for the development of new liveability cycling... and environmental indicators included in the Australian Urban Observatory. The role will require a breadth of computer/spatial/data... • Thu, 29 Feb • RMIT University

Data Scientist » Melbourne, VIC - Job Description: About the role Reporting to the Head of Data Engineering and Architecture, you will play a crucial... role in leveraging data to derive actionable insights and champion data-driven decision-making. You will work closely... • Thu, 29 Feb • Treasury Wine Estates

Lead Data Scientist » Melbourne, VIC - Lead Data Scientist We have an exciting role to be a key member of the Data and Analytics team and be responsible..., architecting specialised environments, and communicating results effectively. Collaborating with stakeholders to transform data... • Wed, 28 Feb • Capstone Recruitment

Data Scientist » Sydney, Sydney Region - Clerk Grade 9/10 Temporary Full-Time up to 12 Months  Hurstville About us The NSW Police Force (NSWPF) is one of the largest police forces in the western world, with more than 20,000 employees, including more than 4,000 administrative employees who support the sworn officers that provide a range of law and order services 24 hours a day, seven days a week to the socially, geographically and culturally diverse community of NSW. About the role We have an opportunity for a Data Scientist to be part of our Strategy & Design, Transformation Office team. The position will provide high quality data analysis in the Command. The role involves processing and cleaning data for analysis, performing analysis using predictive modelling and machine learning techniques. This position will present results in a clear, concise and practical manner for use by the NSWPF Senior executives, Commanders, managers, law enforcement oversight agencies and stakeholders. The role also involves delivering high quality strategic submissions identifying emerging threats and opportunities in the organisation and managing and contributing to key projects assigned to the team.  Whilst the Transformation Office is based in Hurstville, the command adopts a hybrid working model for remote work. Requests for flexible work are considered. For more information on this role (e.g. essential requirements, key accountabilities and capabilities required for the role),  click here   to view the role description. What we can offer you At NSWPF our people have access to a range of benefits that help balance life at work and at home. Some of the benefits available when you join the NSWPF include: competitive salary; flexible work options; annual leave loading; corporate wellbeing programs including seminars and the Fitness Passport; free annual influenza vaccination; and  salary packaging options via superannuation contributions or a novated vehicle lease.  How to Apply Applications can only be submitted electronically via the I Work for NSW website. To be considered for this role, attach a cover letter (2 pages maximum) and an up-to-date resume that clearly details your skills & experience as relevant to this role. Please do not attach copies of qualifications, certificates or documentation (other than what has been requested) - you can bring these if called for interview. Please address each of the following Target Questions (300 word limit per question) in the text boxes provided in the online application or attach as a separate document. Target Question 1: Data-driven insights are valuable when they lead to actionable recommendations. Provide an example of how you have translated complex data analyses into practical recommendations for decision makers? Target Question 2: Effective communication is crucial when conveying complex findings to non-technical stakeholders. How would you communicate the results of your analysis to senior management to ensure your insights are understood and implemented? Your application must stand on its own merits, and the completeness and relevance of your application will determine if you proceed through to the selection process.  If you require any further information about this opportunity, please contact the hiring manager Superintendent Andrew Hurst via (02) 9375 8972. To be eligible to apply for this role, you must meet one of the following statuses:  an Australian Citizen; a permanent resident of Australia; or a New Zealand citizen. Prior to commencement, the successful candidate will be required to undergo a rigorous National Police (criminal history) Check and obtain and maintain a Security Clearance as determined by the NSW Police Force. Our commitment to Diversity The NSW Police Force is a proud employer of a diverse range of people. We are committed to reflecting the diverse community we serve and creating an inclusive and respectful workplace for all employees. Differences are embraced, contributions are valued, and everyone has a sense of connection and belonging. We welcome people with diverse skills, experiences, perspectives and backgrounds and encourage applications from Aboriginal or Torres Strait Islander peoples, and individuals who may identify as LGBTIQ, with disability, a culturally and linguistically diverse background, and people of all ages. If you identify as a person with disability and require further information on the role or you require specific arrangements to participate in the recruitment process, please contact HR Diversity Team by email at PCC-INCLUSIONpolice.nsw.gov.au. If you identify as Aboriginal or Torres Strait Islander and would like assistance with your application, please contact the NSWPF Aboriginal Employment & Engagement team at PCC-AEETpolice.nsw.gov.au. This recruitment may be used to create a Talent Pool for similar future roles (ongoing or temporary) that may arise over the next 18 months. For more information on applying for roles with the NSW Police Force click here Thank you for your interest in this role. We look forward to receiving your application. • Wed, 28 Feb • NSW Police Force

Data Scientist – Digital and Customer(ML,AI) » Sydney, NSW - Data Scientist – Digital and Customer(ML,AI) You are determined to stay ahead of the latest technologies in data... science We are one of the largest and most advanced data science practices in the country Together we can build state-of-the... • Wed, 28 Feb • Commonwealth Bank of Australia

Senior Data Scientist , Queensland Health » Brisbane, QLD - Permanent Full-Time opportunity located in Brisbane CBD for a Senior Data Scientist. Assess impacts on the health... system, analyse health and service delivery data, and create data and service planning tools such as visualisations... • Tue, 27 Feb • Queensland Government

Senior Pricing Advisor/ Data Scientist » Sydney, NSW - Brisbane, QLD - We are looking for a Data Scientist/Actuary with strong technical and communication capability to identify... What you will bring: Preferably Data Scientist or Near/New Fellow of Institute of Actuaries of Australia Bachelor's Degree in Actuarial... • Tue, 27 Feb • Suncorp

Data Scientist Manager » North Sydney, NSW - . Job Description We are seeking a Data Scientist Manager to join our Commercial Data Products team to assist the Director of Data Products... (data scientist, data engineer or equivalent) Self-starter who can work in an ambiguous fast paced environment Passion... • Tue, 27 Feb • Nine

Principal Data Scientist , Queensland Health » Brisbane, QLD - Permanent Full-time opportunity located in Brisbane CBD for a Principal Data Scientist. Assess impacts on the health... Health Service Research, Analysis and Modelling (HSRAM) unit. The Principal Data Scientist will contribute to the development... • Tue, 27 Feb • Queensland Government

Data Scientist » Melbourne CBD, Melbourne - Overview: Full-time, Continuing position Salary HEW 7 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD campus, and hybrid ways of working About You The role is responsible for delivering key insights, information and data products to stakeholders across the university by leveraging techniques such as statistical modelling, machine learning and data visualisation. You will work in cross functional teams, established to deliver data and analytics solutions for our stakeholders. A key part of the role is to actively contribute to the development of best practices, methodologies and tools for how data science projects will be delivered in the university. To be successful in this position, you'll have: 2 years' experience in data analytics or related quantitative roles. Experience in designing, coding, testing, and deploying data science product pipelines. (Preferred technologies include Python, SQL, Snowflake or alike). Experience in data modelling and development in data visualisation tools, e.g. PowerBI. Good interpersonal, consultation, communication and presentation skills and a proven ability to work with and present to diverse stakeholders across the organisation. Strong time management skills including the ability to work across multiple tasks with minimal supervision. What's In It For You? Dedicated professional development day (guild days) once a fortnight with functional colleagues from other domains to share knowledge and develop best practices to incorporate in day-to-day delivery. Meeting free Friday afternoons to focus on work. Work as part of a domain-focused team in a wider centralised data and analytics team. Opportunities to directly support Research management staff and academics with strategic decision-making analytics projects. Learn the latest technologies - Tech stack: dbt, Snowflake, SQL, Python, PowerBI, Atlassian (JIRA, Confluence, bitbucket) Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. Office of the Chief Data and Analytics Officer Office of the Chief Data & Analytics Officer supports and enables RMIT's business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for: Developing and implementing RMIT's data and analytics strategy and ensuring ongoing alignment with university Leading information governance framework and activities across RMIT Defining requirements and standards for data and analytics technologies to be delivered by Information Technology Coordinating and governing data management activities for analytics and reporting Developing and coordinating advanced analytics capabilities to resolve key university challenges To Apply Please submit your CV and covering letter addressing your suitability for this position by clicking on the 'Apply' link at the top of this page. Position Description - Data Scientist Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. LI-Hybrid Applications Close: 13 Mar 2024 11.59 pm RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Kassie (Senior Talent Acquisition Advisor), via talentsupportrmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers . We are a Circle Back Initiative Employer - we commit to respond to every applicant. • Tue, 27 Feb • RMIT University

Senior Data Scientist » New South Wales - Senior Data Scientist Employment Type: Temporary Full Time up to June 2027 with potential availability of ongoing... The Senior Data Scientist is responsible for leading the adoption and application of advanced data science and analytics... • Tue, 27 Feb • NSW Health • $137173 - 163431 per year

Lead Data Scientist - Multimedia » Sydney, NSW - you start, but this will likely evolve. At the moment, this role is focused on: Being the driving force behind our data...-centric approach in the Multimedia Group. Your primary objective will be to harness data to provide our leaders and product... • Mon, 26 Feb • Canva

Data Scientist - Canva Video » Sydney, NSW - this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. In this Data... Scientist role, you will work alongside product, design, and engineering to innovate and develop new video-centric features... • Mon, 26 Feb • Canva

Python C Engineer in Data Prominent Global Financial MarketMaking Firm » Australia - Are you interested in working on businesscritical data challenges and optimizing them towards usability Our client a leading global financial marketmaking firm wants to hear from you Responsibilities Develop applications and tools to support a de...
Location: Sydney • Sun, 25 Feb

Data Scientist » Newcastle Area, Newcastle Region - Employment Type : Temporary Full Time up to June 2027 with potential availably of ongoing employment Position Classification : Health Manager Level 3 Remuneration : $122,850.00 - $139,559.00 per annum plus superannuation Hours Per Week : 38 Requisition ID : REQ470461 Location: Newcastle or Sydney Applications Close: 13 March 2024 – 11:59pm Please note; Applications are being reviewed as they are received, therefore please ensure you submit the completed version when finalising your application. Applications will not be accepted after the close date. Shortlisted candidates will receive an interview initiation as applications are completed ad reviewed. Successful candidates will commence on 20 May 2024, followed by Epic training and orientation. To expedite our recruitment process, we rely on your responsiveness and prompt action. If you are successful in progressing through the process, please address all requests within specified timeframes and continue to monitor your email for updates. Your cooperation is greatly appreciated at this time.   About the opportunity Do you want to join an amazing team and program that is going to change the way NSW Health Pathology provides quality patient care and analytical services? This position is for you At NSW Health Pathology, we are creating better health and justice systems. We are currently undertaking our largest digital health transformation initiative to date, which will improve the way we provide patient care, as well as how we provide forensic and analytical science services to help solve crimes. We are looking for capable data science professionals with expertise in data engineering, BI development, diagnostic and predictive analytics for a once in a lifetime opportunity to contribute to the development of a modern, integrated medical record system that will transform healthcare delivery across the state. As members of the NSW Health pathology Data and Insights team, successful candidates will support Business Intelligence capabilities within the Fusion Program, which seeks to implement the Epic Medical Record system across New South Wales. We value candidates with strong critical and scientific thinking and a healthy dose of creative problem solving. Prior experience in the healthcare domain is an added plus. All successful candidates will receive extensive training on the Epic medical record system as part of the onboarding process. What we can offer you Accrued Days Off in addition to Annual Leave  Generous salary packaging options and other fringe benefits Corporate wellbeing programs, including the Fitness Passport Learning and development opportunities, including in-house training with RTO My Health Learning What you'll be doing The Data Scientist is responsible for undertaking data extraction, exploration, analysis and dissemination of insights to key executive stakeholders across NSW Health Pathology and NSW Health as required. This includes leading : the development of analytical solutions and dashboards that provide key insights to support informed decision making in relation to strategic and operational priorities for NSW Health Pathology the adoption of NSWHP approved best practices and standards for the collection and curation of data sources, development and maintenance of analytical tools and the dissemination of analytical output the ethical use of data and analytical products and the growth of data and analytical literacy across the enterprise. The Data Scientist will also collaborate with other teams within NSW Health Pathology by rapidly exploring and appraising new sources of pathology related data, developing and testing statistical and machine learning models, and by further developing prototype models into automated and scalable tools, dashboards and interactive reports for non-specialist end-users Interested in joining Australia’s largest public pathology service? Apply now by addressing the following questions: Relevant tertiary qualifications in statistics, machine learning, computer science or a related discipline and/or prior experience in data modelling and analytics in a complex organisation. Evidence of advanced analytic skills, data processing and modelling skills including advanced proficiency and experience in the use of the Microsoft BI Platform and its tools to undertake complex analysis, report design, data visualisation and the presentation of information to a variety of audiences at a senior level. Experience and expert knowledge of cloud computing analytics infrastructure including integration tools such as Azure Synapse Analytics or AWS Glue High level experience with pathology services, the NSW Health funding model and pathology related health data systems including Laboratory Information Systems, Patient Flow data systems, workforce and financial data systems. Demonstrated interpersonal, negotiation, written, verbal and presentation skills, leadership skills, the ability to build and maintain collaborative working relationships with a diverse range of stakeholders and positively interact and influence to achieve best outcomes. Background in building and deploying a variety of analytics across a large complex organisation including effectively documenting processes and procedures for management and staff and providing analytic support, advice, mentorship and / or supervision to less experienced data analysts. Vendor management including scope of works development, contracting and contract management throughout vendor engagement to its conclusion. Demonstrated understanding of privacy and health/personal information legislation, policies and standards. Need more information?   1) Click here for the Position Description   2) Find out more about applying for this position For role related queries or questions contact Suranga Kasturi on suranga.kasturihealth.nsw.gov.au Occupational Assessment, Screening and Vaccination Against Specified Infectious Diseases All NSW Health workers are required to have completed a primary course of a COVID-19 vaccine which has been approved or recognised by the Therapeutics Goods Administration (TGA). Additionally, Category A workers are required to receive a booster dose three months after completing the primary course of COVID-19 vaccinations. New applicants must have completed the vaccination course prior to commencement with NSW Health, or provide an approved medical contraindication certificate (IM011 immunisation medical exemption form) certifying the worker cannot have any approved COVID-19 vaccines available in NSW. Acceptable proof of vaccination is the Australian Immunisation Register (AIR) Immunisation History Statement or AIR COVID-19 Digital Certificate. Booster doses are highly recommended for all health care workers who have completed the primary course of COVID-19 vaccinations.     New to NSW Health Pathology? The preferred candidate may be required to undergo a functional assessment prior to appointment.   Talent Pool If the selection panel identifies more than one suitable candidate for the role, an eligibility list will be created for future temporary and casual vacancies.   Our Commitment to Diversity and Inclusion NSW Health Pathology is an equal opportunity employer committed to creating an inclusive workplace. We seek to recruit from diverse applicants and create teams with skills, perspectives and experiences that complement each other at work. We welcome suitably qualified applicants regardless of age, ethnicity, socio-cultural background, disability, sexual orientation or gender identity. • Sat, 24 Feb • NSW Health Pathology

Data Scientist » Newcastle Area, Newcastle Region - Employment Type: Temporary Full Time up to June 2027 with potential availably of ongoing employmentPosition Classification: Health Manager Level 3Remuneration: $122,850.00 - $139,559.00 per annum plus superannuation Hours Per Week: 38Requisition ID: REQ470461 Location: Newcastle or Sydney Applications Close: 13 March 2024 – 11:59pm Please note; Applications are being reviewed as they are received, therefore please ensure you submit the completed version when finalising your application. Applications will not be accepted after the close date. Shortlisted candidates will receive an interview initiation as applications are completed ad reviewed. Successful candidates will commence on 20 May 2024, followed by Epic training and orientation. To expedite our recruitment process, we rely on your responsiveness and prompt action. If you are successful in progressing through the process, please address all requests within specified timeframes and continue to monitor your email for updates. Your cooperation is greatly appreciated at this time. About the opportunity Do you want to join an amazing team and program that is going to change the way NSW Health Pathology provides quality patient care and analytical services? This position is for you At NSW Health Pathology, we are creating better health and justice systems. We are currently undertaking our largest digital health transformation initiative to date, which will improve the way we provide patient care, as well as how we provide forensic and analytical science services to help solve crimes. We are looking for capable data science professionals with expertise in data engineering, BI development, diagnostic and predictive analytics for a once in a lifetime opportunity to contribute to the development of a modern, integrated medical record system that will transform healthcare delivery across the state. As members of the NSW Health pathology Data and Insights team, successful candidates will support Business Intelligence capabilities within the Fusion Program, which seeks to implement the Epic Medical Record system across New South Wales. We value candidates with strong critical and scientific thinking and a healthy dose of creative problem solving. Prior experience in the healthcare domain is an added plus. All successful candidates will receive extensive training on the Epic medical record system as part of the onboarding process. What we can offer you Accrued Days Off in addition to Annual Leave Generous salary packaging options and other fringe benefits Corporate wellbeing programs, including the Fitness Passport Learning and development opportunities, including in-house training with RTO My Health Learning What you'll be doing The Data Scientist is responsible for undertaking data extraction, exploration, analysis and dissemination of insights to key executive stakeholders across NSW Health Pathology and NSW Health as required. This includes leading : the development of analytical solutions and dashboards that provide key insights to support informed decision making in relation to strategic and operational priorities for NSW Health Pathology the adoption of NSWHP approved best practices and standards for the collection and curation of data sources, development and maintenance of analytical tools and the dissemination of analytical output the ethical use of data and analytical products and the growth of data and analytical literacy across the enterprise. The Data Scientist will also collaborate with other teams within NSW Health Pathology by rapidly exploring and appraising new sources of pathology related data, developing and testing statistical and machine learning models, and by further developing prototype models into automated and scalable tools, dashboards and interactive reports for non-specialist end-users Interested in joining Australia’s largest public pathology service? Apply now by addressing the following questions: Relevant tertiary qualifications in statistics, machine learning, computer science or a related discipline and/or prior experience in data modelling and analytics in a complex organisation. Evidence of advanced analytic skills, data processing and modelling skills including advanced proficiency and experience in the use of the Microsoft BI Platform and its tools to undertake complex analysis, report design, data visualisation and the presentation of information to a variety of audiences at a senior level. Experience and expert knowledge of cloud computing analytics infrastructure including integration tools such as Azure Synapse Analytics or AWS Glue High level experience with pathology services, the NSW Health funding model and pathology related health data systems including Laboratory Information Systems, Patient Flow data systems, workforce and financial data systems. Demonstrated interpersonal, negotiation, written, verbal and presentation skills, leadership skills, the ability to build and maintain collaborative working relationships with a diverse range of stakeholders and positively interact and influence to achieve best outcomes. Background in building and deploying a variety of analytics across a large complex organisation including effectively documenting processes and procedures for management and staff and providing analytic support, advice, mentorship and / or supervision to less experienced data analysts. Vendor management including scope of works development, contracting and contract management throughout vendor engagement to its conclusion. Demonstrated understanding of privacy and health/personal information legislation, policies and standards. Need more information? 1) Click here for the Position Description 2) Find out more about applying for this positionFor role related queries or questions contact Suranga Kasturi on suranga.kasturihealth.nsw.gov.au Occupational Assessment, Screening and Vaccination Against Specified Infectious Diseases All NSW Health workers are required to have completed a primary course of a COVID-19 vaccine which has been approved or recognised by the Therapeutics Goods Administration (TGA). Additionally, Category A workers are required to receive a booster dose three months after completing the primary course of COVID-19 vaccinations. New applicants must have completed the vaccination course prior to commencement with NSW Health, or provide an approved medical contraindication certificate (IM011 immunisation medical exemption form) certifying the worker cannot have any approved COVID-19 vaccines available in NSW. Acceptable proof of vaccination is the Australian Immunisation Register (AIR) Immunisation History Statement or AIR COVID-19 Digital Certificate. Booster doses are highly recommended for all health care workers who have completed the primary course of COVID-19 vaccinations. New to NSW Health Pathology? The preferred candidate may be required to undergo a functional assessment prior to appointment. Talent PoolIf the selection panel identifies more than one suitable candidate for the role, an eligibility list will be created for future temporary and casual vacancies. Our Commitment to Diversity and Inclusion NSW Health Pathology is an equal opportunity employer committed to creating an inclusive workplace. We seek to recruit from diverse applicants and create teams with skills, perspectives and experiences that complement each other at work. We welcome suitably qualified applicants regardless of age, ethnicity, socio-cultural background, disability, sexual orientation or gender identity. • Sat, 24 Feb • NSW Health Pathology

Senior Data Scientist » Newcastle, NSW - Sydney, NSW - and development opportunities, including in-house training with RTO What you'll be doing The Senior Data Scientist is responsible..., as well as how we provide forensic and analytical science services to help solve crimes. We are looking for capable data science professionals... • Sat, 24 Feb • NSW Health • $137173 - 163431 per year

Data Scientist » Newcastle, NSW - Sydney, NSW - and development opportunities, including in-house training with RTO What you'll be doing The Data Scientist is responsible... products and the growth of data and analytical literacy across the enterprise. The Data Scientist will also collaborate... • Fri, 23 Feb • NSW Health • $122850 - 139559 per year

Data Scientist » Melbourne, VIC - insights, information and data products to stakeholders across the university by leveraging techniques such as statistical... modelling, machine learning and data visualisation. You will work in cross functional teams, established to deliver data... • Fri, 23 Feb • RMIT University

Senior Data Scientist » Melbourne, VIC - Our client AGL are seeking an experienced Data Scientist to join them on a contract basis in Melbourne. This will be in... creation, Find and extract value through creative and efficient application of data mining techniques, statistical analysis... • Mon, 19 Feb • Chandler Macleod

Senior Data Scientist, B2B Data Tooling » Sydney, NSW - to build out data tooling, data products, reporting and insights to help them more effectively and efficiently serve... to build cool things Owning projects, data models, dashboards, and other artefacts and keep them up-to-date and high quality... • Mon, 19 Feb • Canva

Data Scientist » Brisbane CBD, Brisbane - As a key contributor you will dive deep into hands-on coding, employing best practices to enhance data science capability and deliver tangible outcomes. This position is tailor-made for a (senior) Data Scientist with software engineering skills, with an emphasis on coding, offering the chance to make a significant difference by leveraging data science and software methods to deliver data-driven products Capabilities and experience required >5 years' experience in analytical tools, processes, and practices across AI/ML/DS domains. Hands on coding experience in Python & R, with extensive use of Git & various build systems. Experience diving into library source code, documentation, manuals, mailing lists & Stack Overflow, to understand underlying functions & libraries in order to unpack & resolve raised issues. Ability to create abstractions and use design patterns to build production level software systems. Ability to debug, trace, and create algorithms with a very strong attention to detail; coupled with the ability to clearly communicate thoughts, findings, trade-offs, and your governing processes. Demonstrated strong conceptual and analytical skills, able to translate complex business issues into well-structured analytics research problems, i.e., spanning from ideation to delivery. Experience in building large scale, end-to-end machine learning systems using a combination of big data tools (i.e., Azure ML, VMs, etc.), visualisation tools, and programming in Python, R & SQL. Experience with Windows/Linux command line and tools (bat / bash / grep / cron / systemd / etc.); as well as language tooling (pip, virtualenv, pandas, requests) and meta-tools (Docker, etc). Ability to independently take a large problem and decompose it into smaller problems and use data science / analysis / software methods to arrive at solutions, using creativity/imagination as needed. Experience dealing with large amounts of data, in varying formats (be it output from SQL queries, CSV dumps, JSON/XML outputs, ad-hoc programs, APIs, etc); with the ability to reshape with ease. Experience in producing & presenting documentation in support of the entire analytical process. Sound communication skills to be able to engage with stakeholders from a range of backgrounds with varying levels of technical competency. Capable of quickly learning new programming languages & tools to solve problems as they arise. An academic background in: Software Engineering, Computer Science, Informatics, or similar. Capabilities and experience desirable Experience in machine learning areas such as Computer Vision (OpenCV), Recommender Systems, NLP, Pattern Recognition, Predictive modelling, particularly as embedded within a delivered commercial service and/or product. Ability to write multi-threaded code to solve data science / software challenges as needed. Experience building modular machine learning / software systems within SDLC methods. Experience with MLOps, Pipelines, Cloud Platforms and Databases. Keeps abreast of ongoing analytical and modelling techniques in industry and how they can be practically applied to business problems. Take the next step - APPLY NOW Or contact Mangal Kadam on 730037693 referring a job number 260647 . Diversity and inclusion are strongly supported at Peoplebank. People of all nationalities, gender identities, and cultural backgrounds, including Aboriginal and Torres Strait Islander Peoples, are encouraged to apply. • Fri, 16 Feb • Peoplebank Australia Ltd

Data Scientist » Brisbane, QLD - capability and deliver tangible outcomes. This position is tailor-made for a (senior) Data Scientist with software engineering...As a key contributor you will dive deep into hands-on coding, employing best practices to enhance data science... • Fri, 16 Feb • Peoplebank

Data Scientist » Sydney, NSW - Working with Customers to assist and perform engagements focused on Data including but limited to Data Architecture... Design: Designing and implementing data systems and architecture that align with the business requirements. Developing... • Fri, 16 Feb • DNX Technology

Data Scientist » The Rocks, Sydney - Job Type: Full Time Category: Strategy/Planning Location: Sydney-NSW Date Advertised: 13-FEB-24 Job Reference: CLM/1777391 Job Title: Data Scientist Business Unit: CHEP Network Division: Summary: About us CHEP exists at the intersection of creativity, technology, media, and data. Our vision is to Create What's Next - a constant mission to lead the industry in defining the shape of modern communications and advertising. The synchronization of our strategic positioning and our engaging creative, combined with the next generation of engagement planning ensure we deliver ideas that create the cut-through needed to deliver the strongest commercial performance. Today, creativity cannot be left to chance. One brand expression or big TV ad is simply not enough. CHEP Data as a creative differentiator Data is pivotal to everything done by CHEP and consequently the Data Science consultancy offering has been, and continues to be, pivotal to CHEP's ongoing success and is a critical enabler of our Connected Creativity philosophy. Data Science offers the ability to manipulate and interpret a business' most valuable asset to inform business transforming strategies. Add to this the increasingly complex technology environments clients are required to work with (both in their owned environment and the wider media landscape), strategic, analytical, and technological minds are required to help navigate them in new and creative ways. The Data Science team at CHEP is responsible for everything from Data Engineering and BI, through to predictive analytics and applications of AI. The unique blend of skills are what sets CHEP apart from the pack and makes us a truly unique team in the advertising industry. If you are someone who likes to be a part of innovation, creativity and pride yourself on creating accurate, robust and actionable data solutions, then you will fit right in at CHEP. Purpose of the Role As an experienced / mid-tier Data Scientist, you are well versed in advanced statistical analysis, data mining, and data visualisation techniques, to create solutions that enable enhanced decision making and business performance. The purpose of the Data Scientist is to combine data, computational science, and technology with advertising and marketing knowledge, to drive high-value insights, and use your first-class storytelling skills to powerfully communicate the key insights to our clients and the broader business. As a part of the Planning - Data team, you collaboratively work with Account Service Leads, Tech program Leads, clients and other areas of the business, to understand the business problems and key decisions to be solved through insightful analytics. You will use the data science toolkit to identify trends, patterns and insights from raw data and extract meaning from data, uncover insights and identify opportunities to inform business decision making. You will play a key role in the establishment of our Advanced Analytics capabilities and contribute to CHEP Networks evolving data science product suite, to ensure we continue to deliver first class capabilities to our clients, and increase profitability for CHEP Network. The CHEP data team is collaborative, and the successful candidate will work within a close-knit team, where members support each other to deliver first-class data services to our clients. The successful candidate will possess a blend of commercial acumen and technical data skills to be able to support our clients with their advanced analytics needs as a key member of the Data Science team. Key Responsibilities Collect, gather, analyse, and visualise information to create insights through analysis and modelling, disseminating these findings in clear and concise reports to clients. Work with clients to understand their business needs and propose and lead data science solutions. Lead the acquisition of additional data when required, to resolve specific business issues, enhance analytical capabilities, and inform decisions. Effectively record, manage and store information and data for future reference and reporting. Adhere to coding and knowledge sharing best practice, contributing to a cross skilled collaborative team. Automate information delivery where appropriate to processes and people to increase speed of information and decision making, allowing action to be taken with certainty, and at a lower cost. Build and contribute to a creative, forwards thinking analytics culture to drive best outcomes for clients. Contribute to the growth of CHEP Networks AI capabilities, bringing fresh ideas to the table. Experience and Capabilities Essential Proficiency in data science toolsets (SQL, Python etc.) and algorithms (regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.) to create analytical assets and monitor these for ongoing accuracy. Experience across data environments and tools such as AWS (S3, Redshift etc.), Google Cloud Platform (BigQuery SQL, Big Query ML). Proficient in at least one visualization tool (Tableau, Datarama, Looker etc.) to develop data insights. Sound problem solving skills - ability to analyse and understand complex data problems and determine appropriate solutions. Strong analytical skills, with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy to provide business relevant insights and actionable models. Ability to engage and workshop with diverse clients' stakeholders, account services leads, tech program leads to deliver Data Science and Analytics solutions. Strong consultative skills, with a proven ability to work well with others and communicate effectively and clearly. Desirable Experience with Airflow Adobe Analytics Google Analytics Experience or deep interest in AI applications and methodology beneficial Experience in Advertising a bonus Job Specific Capabilities As a part of this team, you will be expected to have the following capabilities. Strong problem solving, data and analytical skills, numeracy and attention to detail Ability to work under pressure and meet deadlines or communicate early when blockers arise Ability to ensure quality of an individual's own work and ensure delivery meets CHEP standards Must be a team player Please note: All applicants must have the right to work in Australia. Clemenger Group is an equal opportunity employer and committed to building a diverse and inclusive workplace. We welcome people of all backgrounds and can assist with your application if you have a language or cultural special consideration, disability or impairment, or use assistive technology - simply contact us via careersclemenger.com.au. • Fri, 16 Feb • Clemenger

Data Scientist » Brisbane, QLD - Are you a high-performing, hands-on Data Scientist passionate about creating world class AI & machine learning... for a (senior) Data Scientist with software engineering skills, with an emphasis on coding, offering the chance to make... • Thu, 15 Feb • Paxus

Data Scientist » Brisbane, Brisbane Region - VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 4,500 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Years on from its humble beginnings in Brisbane, Australia, VALD has grown to a team of over 220 team members in 29 countries, with three offices across Australia, the UK and USA. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role VALD is building the world's largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients' progress and make more accurate, data-informed treatment decisions. We are looking for an experienced data scientist to join our growing team and build the technical foundations for VALD's future growth. In this role, you will: - Aggregate millions of test results into a repository of normative data so that practitioners can easily compare their patients' performance to a reference group. - Maintain our existing monitoring reports and develop new dashboards in Power BI as needed. - Partner with the Data Engineering team to ensure the company's data models are fit for purpose. - Develop and implement A/B experiments to support informed decision-making within the Product team. - Support VALD's commercial strategy by conducting market analyses and identifying areas of opportunity. - Be a trusted partner for the Product, Client Services, Marketing, and Support teams. - Prototype machine learning models in outlier detection, computer vision and other relevant areas. Is this you? This role is a fantastic opportunity within a fast-growing team. It's suited to someone with a positive attitude who thrives in a fast-paced, high-pressure environment. The ideal candidate will bring: - Hands-on experience in using data analytics to solve commercial problems. - Proficiency in Excel, SQL, Python, R, and BI software (e.g., Power BI, Tableau, Looker, or Qlik). - Tertiary qualifications in mathematics, statistics, engineering, or a related discipline. - Strong written and verbal communication skills. - High attention to detail. - Ability to handle ambiguity and thrive in a startup environment. - Desire to deliver solutions in the human movement domain. Why VALD? An opportunity to be part of revolutionizing the health and performance industries is just the beginning when you join VALD. ?Named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team, such as: - The opportunity to work in a company that is redefining allied healthcare. - Learn from a range of high-performing individuals and teams across a range of disciplines. - Be part of a down-to-earth, inclusive and vibrant team. - Chefs that prepare you delicious fresh breakfast and lunch. - On-site barista to make your coffee just as you like it. - Team gym, masseuse, and access to physiotherapy and exercise physiology services. Diversity & Inclusion Commitment VALD's best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative - we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Apply now In your cover letter, please share with us why you think your experience is relevant to this role and how this opportunity fits into your longer-term career goals. We can't wait to meet you and discuss what a career with VALD could look like for you Successful applicants will be subject to background checks (including identity and criminal record) • Thu, 15 Feb • VALD

Data Scientist-Growth Marketing » Sydney, NSW - , but this will likely evolve. We're looking for a data scientist who is eager to help Canva forge ahead in marketing by helping to shape... of Data Scientists who love to geek out on large data sets, share and collaborate on the latest analysis methods... • Thu, 15 Feb • Canva

Data Scientist » Sydney, Sydney Region - About us CHEP exists at the intersection of creativity, technology, media, and data. Our vision is to Create What's Next – a constant mission to lead the industry in defining the shape of modern communications and advertising. The synchronization of our strategic positioning and our engaging creative, combined with the next generation of engagement planning ensure we deliver ideas that create the cut-through needed to deliver the strongest commercial performance. Today, creativity cannot be left to chance. One brand expression or big TV ad is simply not enough. CHEP Data as a creative differentiator Data is pivotal to everything done by CHEP and consequently the Data Science consultancy offering has been, and continues to be, pivotal to CHEP's ongoing success and is a critical enabler of our Connected Creativity philosophy. Data Science offers the ability to manipulate and interpret a business' most valuable asset to inform business transforming strategies. Add to this the increasingly complex technology environments clients are required to work with (both in their owned environment and the wider media landscape), strategic, analytical, and technological minds are required to help navigate them in new and creative ways. The Data Science team at CHEP is responsible for everything from Data Engineering and BI, through to predictive analytics and applications of AI. The unique blend of skills are what sets CHEP apart from the pack and makes us a truly unique team in the advertising industry. If you are someone who likes to be a part of innovation, creativity and pride yourself on creating accurate, robust and actionable data solutions, then you will fit right in at CHEP. Purpose of the Role As an experienced / mid-tier Data Scientist, you are well versed in advanced statistical analysis, data mining, and data visualisation techniques, to create solutions that enable enhanced decision making and business performance. The purpose of the Data Scientist is to combine data, computational science, and technology with advertising and marketing knowledge, to drive high-value insights, and use your first-class storytelling skills to powerfully communicate the key insights to our clients and the broader business. As a part of the Planning - Data team, you collaboratively work with Account Service Leads, Tech program Leads, clients and other areas of the business, to understand the business problems and key decisions to be solved through insightful analytics. You will use the data science toolkit to identify trends, patterns and insights from raw data and extract meaning from data, uncover insights and identify opportunities to inform business decision making. You will play a key role in the establishment of our Advanced Analytics capabilities and contribute to CHEP Networks evolving data science product suite, to ensure we continue to deliver first class capabilities to our clients, and increase profitability for CHEP Network. The CHEP data team is collaborative, and the successful candidate will work within a close-knit team, where members support each other to deliver first-class data services to our clients. The successful candidate will possess a blend of commercial acumen and technical data skills to be able to support our clients with their advanced analytics needs as a key member of the Data Science team. Key Responsibilities Collect, gather, analyse, and visualise information to create insights through analysis and modelling, disseminating these findings in clear and concise reports to clients. Work with clients to understand their business needs and propose and lead data science solutions. Lead the acquisition of additional data when required, to resolve specific business issues, enhance analytical capabilities, and inform decisions. Effectively record, manage and store information and data for future reference and reporting. Adhere to coding and knowledge sharing best practice, contributing to a cross skilled collaborative team. Automate information delivery where appropriate to processes and people to increase speed of information and decision making, allowing action to be taken with certainty, and at a lower cost. Build and contribute to a creative, forwards thinking analytics culture to drive best outcomes for clients. Contribute to the growth of CHEP Networks AI capabilities, bringing fresh ideas to the table. Experience and Capabilities Essential Proficiency in data science toolsets (SQL, Python etc.) and algorithms (regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.) to create analytical assets and monitor these for ongoing accuracy. Experience across data environments and tools such as AWS (S3, Redshift etc.), Google Cloud Platform (BigQuery SQL, Big Query ML). Proficient in at least one visualization tool (Tableau, Datarama, Looker etc.) to develop data insights. Sound problem solving skills - ability to analyse and understand complex data problems and determine appropriate solutions. Strong analytical skills, with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy to provide business relevant insights and actionable models. Ability to engage and workshop with diverse clients' stakeholders, account services leads, tech program leads to deliver Data Science and Analytics solutions. Strong consultative skills, with a proven ability to work well with others and communicate effectively and clearly. Desirable Experience with Airflow Adobe Analytics Google Analytics Experience or deep interest in AI applications and methodology beneficial Experience in Advertising a bonus Job Specific Capabilities As a part of this team, you will be expected to have the following capabilities. Strong problem solving, data and analytical skills, numeracy and attention to detail Ability to work under pressure and meet deadlines or communicate early when blockers arise Ability to ensure quality of an individual's own work and ensure delivery meets CHEP standards Must be a team player Please note: All applicants must have the right to work in Australia. Clemenger Group is an equal opportunity employer and committed to building a diverse and inclusive workplace. We welcome people of all backgrounds and can assist with your application if you have a language or cultural special consideration, disability or impairment, or use assistive technology – simply contact us via careersclemenger.com.au. • Wed, 14 Feb • Clemenger Group

Data Scientist » Brisbane, QLD - data scientist to join our growing team and build the technical foundations for VALD's future growth. In this role...'s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners... • Tue, 13 Feb • VALD

Data Scientist » Melbourne CBD, Melbourne - An opportunity to make a lasting impact on the next health tech improving mental and physical wellbeing through advanced ML and NLP techniques. We have partnered with a Med-tech startup building a platform focussed on improving the lives of its users through a variety of data and ML models. As the Data Scientist / Engineer, you will be working across a variety of tasks, including managing pipelines, deploying models and reporting. You will be doing: Exploratory data analysis and data extraction from a variety of sources Develop and conduct anomaly detection on models Design, deploy and maintain data pipelines and architecture Database design, management and cleansing Deploy ML Models and Data Pipelines We are looking for: Strong experience with NLP and broader Machine learning models. Speech-to-text models are favourable Experience writing ETL code and managing Data Pipelines on AWS cloud Working knowledge of MLOps practises, again on AWS Experience within the Medical technology space is looked on favourably Tertiary degree in Medical Science and/or a Technology degree, research is also highly regarded You will be joining a a startup with huge up[side and a product solving real-world problems. While this will be a tough role, you will be rewarded with a great rem package and strong equity. Please note - candidates are preferred to be based in Melbourne with a mix of in-office and WFH. Candidates are required to have full and unrestricted work rights. If you have any questions about this role or others we have available you can email our team directly via andrewthedrivegroup.com.au For The Latest Jobs, Tech News or to 'Introduce A Friend' for a $1000 Referral Fee - Follow Us On Linkedin: https://www.linkedin.com/company/thedrivegroup TheDriveGroup is 100% committed to improving meaningful diversity in the technology industry. We partner with clients who embrace diversity and seek candidates across all backgrounds, abilities, genders, sexualities, cultures, and faiths. If you have the right skills and attitude we would love to hear from you • Sat, 10 Feb • TheDriveGroup

Data Scientist - Risk » North Sydney, NSW - a dynamic Data Scientist to join our Product Development team. The primary responsibility of this role is to drive consistently... high performance in our risk modelling operations through a sharp focus on data science. You will be instrumental in... • Sat, 10 Feb • Shift

Data Scientist » Adelaide CBD, Adelaide - Australian-owned and operated, Aurizn has more than 20 years of experience in delivering cutting-edge technology solutions, in Artificial Intelligence, Simulation and Advanced Sensing. Our expertise is unique, integrating science, technology, engineering and mathematics with deep experience in project delivery, from concept to research through to validation and implementation. With our 160 strong team of industry-leading experts, we have the scale and capability to deliver significant scientific and technological advancements and create real-world outcomes and improvements for our clients. Join us as we embrace the unknown and deliver clever solutions together About the Role: Due to rapid growth and a strong pipeline of client projects, we are currently looking for Data Scientists across all levels of experience, to work with both our Enterprise and Defence clients across several projects and disciplines, undertaking tasks such as but not limited to: Conducting applied research into machine learning methods for the Defence, Energy, Power & Utilities, Transport & Logistics, Mining, and many other industries. Analysing and visualising data to generate insights into the systems and simulations. Identifying research challenges and choosing appropriate machine learning methods to enhance decision-making processes. Choosing relevant features and preparing data sets for training, validation, and testing of machine learning models. Designing, implementing and training machine learning models. Crafting procedures and instruments to oversee and evaluate model efficiency and precision. Collaborating within a multi-disciplinary team to develop practical software solutions. Sharing outcomes (both written and verbal), with leaders and clients. What we are looking for: Must have Australian Citizenship prior to commencement, and be willing to obtain a Negative Vetting 1 Security Clearance. Must hold a degree in science, mathematics, engineering, statistics or a related discipline. Proficiency in statistical programming languages, notably Python or R, to manage, analyse, and derive insights from expansive data sets. Strong foundation in a diverse range of machine learning methodologies, including but not limited to: Deep Neural Networks, Graphical Models, and Reinforcement Learning. Hands-on coding experience, particularly in deploying and scaling machine learning solutions. Adeptness with key data science toolkits for data wrangling and visualization such as Pandas, JupyterLab, and Matplotlib. Proven expertise in crafting and applying sophisticated machine learning algorithms and statistical techniques, encompassing regression, simulation, clustering, decision trees, neural networks, and more. What will make you stand out: Familiarity with cloud platforms and big data technologies. Experience in working collaboratively in cross-functional teams. An inquisitive mind, eager to challenge conventional wisdom and drive innovation. What's in it for you? At Aurizn, we strive to create an exceptional work environment that prioritises work-life balance and supports our employees at every stage of their lives. In addition to an attractive salary, we offer company-paid parental leave, flexible work arrangements, dedicated leave for significant life events like weddings, a vibrant social calendar, corporate discounts, and access to personal advisory services. For more information about Aurizn and what we can offer you, please visit our website at: www.aurizn.co. These roles offer flexibility to work either full-time or part-time. Dependent on position, we offer the flexibility to work within the Adelaide CBD, Mawson Lakes, Edinburgh, and working from home (WFH) arrangements where suitable. If you are seeking a new challenge, please register your interest, we'd love to hear from you • Sat, 10 Feb • Aurizn

Data Scientist » Adelaide, Adelaide Region - Australian-owned and operated, Aurizn has more than 20 years of experience in delivering cutting-edge technology solutions, in Artificial Intelligence, Simulation and Advanced Sensing. Our expertise is unique, integrating science, technology, engineering and mathematics with deep experience in project delivery, from concept to research through to validation and implementation. With our 160 strong team of industry-leading experts, we have the scale and capability to deliver significant scientific and technological advancements and create real-world outcomes and improvements for our clients. Join us as we embrace the unknown and deliver clever solutions together About the Role: Due to rapid growth and a strong pipeline of client projects, we are currently looking for Data Scientists across all levels of experience, to work with both our Enterprise and Defence clients across several projects and disciplines, undertaking tasks such as but not limited to: Conducting applied research into machine learning methods for the Defence, Energy, Power & Utilities, Transport & Logistics, Mining, and many other industries. Analysing and visualising data to generate insights into the systems and simulations. Identifying research challenges and choosing appropriate machine learning methods to enhance decision-making processes. Choosing relevant features and preparing data sets for training, validation, and testing of machine learning models. Designing, implementing and training machine learning models. Crafting procedures and instruments to oversee and evaluate model efficiency and precision. Collaborating within a multi-disciplinary team to develop practical software solutions. Sharing outcomes (both written and verbal), with leaders and clients. What we are looking for: Must have Australian Citizenship prior to commencement, and be willing to obtain a Negative Vetting 1 Security Clearance. Must hold a degree in science, mathematics, engineering, statistics or a related discipline. Proficiency in statistical programming languages, notably Python or R, to manage, analyse, and derive insights from expansive data sets. Strong foundation in a diverse range of machine learning methodologies, including but not limited to: Deep Neural Networks, Graphical Models, and Reinforcement Learning. Hands-on coding experience, particularly in deploying and scaling machine learning solutions. Adeptness with key data science toolkits for data wrangling and visualization such as Pandas, JupyterLab, and Matplotlib. Proven expertise in crafting and applying sophisticated machine learning algorithms and statistical techniques, encompassing regression, simulation, clustering, decision trees, neural networks, and more. What will make you stand out: Familiarity with cloud platforms and big data technologies. Experience in working collaboratively in cross-functional teams. An inquisitive mind, eager to challenge conventional wisdom and drive innovation. What's in it for you? At Aurizn, we strive to create an exceptional work environment that prioritises work-life balance and supports our employees at every stage of their lives. In addition to an attractive salary, we offer company-paid parental leave, flexible work arrangements, dedicated leave for significant life events like weddings, a vibrant social calendar, corporate discounts, and access to personal advisory services. For more information about Aurizn and what we can offer you, please visit our website at: www.aurizn.co. These roles offer flexibility to work either full-time or part-time. Dependent on position, we offer the flexibility to work within the Adelaide CBD, Mawson Lakes, Edinburgh, and working from home (WFH) arrangements where suitable. If you are seeking a new challenge, please register your interest, we'd love to hear from you • Sat, 10 Feb • Aurizn

Senior Data Scientist » Australia - external collaborations. As a Senior Data Scientist at Suncorp, the focus lies on assuming a pivotal technical role in... places great importance on leveraging its data to enhance business performance, with the Data Science & AI Centre... • Fri, 09 Feb • Suncorp

Acceleration | Senior Data Scientist Sydney, Sydney » Sydney, NSW - . Most importantly, we speak in specifics and get the job done. The Role We're looking for a passionate and talented Data Scientist... practice for data, analytics & technology consulting. We are a curious team of highly skilled data and technology... • Fri, 09 Feb • GroupM

Climate Data Scientist » Sydney, NSW - their homes. And this is just the beginning. Our data and insights are helping organisations unlock the intel they need to drive... Role Working within the Climate Resilience Solutions team within PEXA, you will collaborate closely with data engineers... • Thu, 08 Feb • Pexa

Research Assistant/Associate - Health Data Architect/Engineer/Scientist » Newcastle, NSW - This 18-month position provides an exciting opportunity for a Research Assistant or Associate who has strong Data Architecture... and Data Science skills and an interest to work in interdisciplinary teams to join our new EPSRC-funded Northern Health Futures... • Thu, 08 Feb • The University of Newcastle

Senior Pricing Advisor/ Data Scientist » Sydney, NSW - Brisbane, QLD - : We are looking for an Actuary/Data scientist with strong technical and communication capability to identify opportunities to improve growth... of Actuaries of Australia or equivalent data scientist Bachelor's Degree in Actuarial, Statistics, Mathematics, Data Science... • Tue, 06 Feb • Suncorp

Senior Data Scientist » Sydney, NSW - a Senior Data Scientist to join this growing team in order to provide increased visibility to the firm through insightful...About our client: Our client a leading name the field of data and analytics. In recent years they have grown... • Tue, 06 Feb • Troocoo • $150000 - 160000 per year

Senior Data Scientist- Brand Experience » Sydney, NSW - data. You will do this by: Finding strategic Insights - combining deep product knowledge with data to produce strategic.... Then using them to diagnose issues at a high-level and influence what the business does. Supporting with General Data... • Tue, 06 Feb • Canva

Data Scientist » Largs North, Port Adelaide Area - Bigger vision. Smarter data. Smaller footprint. Welcome to a new era of mining intelligence. At Veracio, we're unlocking the value and utility of scarce resources, and it all starts with the orebody. Whether that's unlocking hard-to-find minerals that are critical for a sustainable future. Or liberating time through the automation workflows from exploration through to production geoscience. Or the workforce, with cloud connected systems keeping the world's brightest minds at your fingertips. It's through a fusion of science and technology that we're helping miners leverage their orebody knowledge to realise more opportunities while mitigating the social and environmental impact of their decisions. An opportunity is available to join this rapidly growing business as a Data Scientist. The Data Scientist will create and maintain code with a view to streamlining and automating processes. We are looking for someone with strong problem solving and coding skills, familiar with the scientific process and infinitely inquisitive and curious. Key Competencies: Ability to code in R and Python along with a proven track record of good coding practice. Understanding of math/physics/geology/chemistry desirable but not essential. A background in Statistics and data science preferred. Fix bugs and addressing issues in legacy code. Good time estimation and time management skills Documenting existing architecture and features in legacy code. Ability to problem solve and be a self-starter. This role requires some self-guidance with very little oversight. High levels of curiosity. Team player A few other things we're looking for: Software architecture design. Data QA/QC. Testing QA/QC. Bachelor's degree in computer science/maths/physics/geology/chemistry. Background or exposure to geology and geospatial principles is helpful. Veracio is a wholly owned subsidiary of Boart Longyear with a principal focus on orebody knowledge and technologies for mining. Bringing together over 100 years of heritage in mining equipment, tooling and services with a passion for cutting-edge science and technology. A passion that's purpose-built to challenge the status-quo and encourage miners all over the world to think with a bigger vision, work with smarter data and strive to achieve a smaller footprint. Join our team, hit apply now • Mon, 05 Feb • Boart Longyear