Data Scientist/Data Analyst – Customer retention
HybridSydney, New South Wales, Australia
Job Summary
Build scalable data assets that power retention insights, modelling, and strategic decision-making for TAL's Retail Advised and Direct Life Insurance portfolios. Deliver intuitive dashboards and reporting solutions using Power BI to enable faster, data-led decisions, while translating complex analysis into clear recommendations for stakeholders. Modernise analytics processes through automation, AI, and cloud-based technologies to improve customer retention outcomes. Apply advanced analytics and emerging technologies to uncover insights that support commercial decision-making and long-term value. Champion responsible data and AI practices that support reliable, compliant analytics solutions. This role requires tertiary qualifications in Data Science, Statistics, or Actuarial Studies, along with strong SQL, Python, or R skills. Based in Sydney with hybrid working options.
Required Qualifications
- Tertiary qualifications in Data Science, Statistics, Mathematics, Actuarial Studies, Computer Science, or a related quantitative field
- At least 2 years' industry experience in a data, analytics or related quantitative role
- Insurance industry experience
- Strong SQL skills to prepare, explore and transform data into meaningful insights
- Apply Python and/or R to develop analytical, statistical or machine learning models
- Create clear dashboards and reporting solutions using Power BI or similar tools
- Communicate complex insights clearly with both technical and non-technical stakeholders
- This role must be based in Sydney
- Must be able to lift 50 lbs
Desired Qualifications
- Insurance industry experience highly regarded
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