Data Scientist

2 weeks ago

Melbourne, Victoria, Australia Bluefin Resources Pty Limited Full time $90,000 - $120,000 per year

Data Scientist - Lading Gov Health Agency

Join a purpose-driven Analytics team of a leading Government health organisation, that is using data science to support and help deliver programs that change lives.

**This is a 12 months Day Rate Contract with strong possibility of extension for another 12 months. Candidates must be based in Melb or Brisbane, with hydrid work arrangements - 2-3 days in the office/ rest from home.

Australian Citizenship a must. 

About the Team** The Analytics, Data & Actuarial (ADA) Division drives insight, forecasting and evaluation to ensure long-term sustainability and impact.

  • Actuarial Insights & Monitoring – providing trusted analysis and advice.
  • Data & Analytics – turning complex data into actionable insights.
  • Scheme Effectiveness & Forecasting – measuring outcomes, evaluating supports, and monitoring financial sustainability.

From producing the Annual Financial Sustainability Report to delivering strategic modelling and policy advice, the team plays a pivotal role in shaping evidence-based decision-making and future outcomes.

As a Data Scientist you'll:

  • Work with complex data to deliver reporting, analysis and performance monitoring.
  • Extract, cleanse and prepare data from multiple sources, advising on quality and checks.
  • Apply statistical and predictive modelling, scenario testing and data visualisation to inform decision-making.
  • Contribute to critical reporting for leadership, Ministers and public data sharing.
  • Communicate insights to stakeholders and provide advice on moderately complex enquiries.

What we're looking for:

  • 2-3 years of relevant analytics or data science experience in gov or other similar agencies with good analytical and data management skills.
  • Hands-on skills and exp in R or Python programming, including data manipulation and analysis.
  • Hands-on experience and skills in SQL / SAS programming.
  • Understanding of statistical modelling (GLM, gradient boosting) or machine learning techniques a must.
  • Experience in dashboards and visualisations for non-technical stakeholders a big plus.
  • Familiarity with government processes (policy, budget, reporting) a plus.

This is your chance to use your technical expertise to influence policy, support national reporting, and contribute directly to outcomes that make a difference for Australians.

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