Data Scientist/Data Analyst - Customer retention

For over 150 years, we've never stopped finding better ways to protect Australians. As one of the nation’s leading life insurers, we’re driven by ambition and a sense of purpose. Our responsibility to our customers, partners, and the broader community is at the heart of everything we do.

At TAL, we’re empowered to experiment, innovate, and create better products and services. Backed by Daiichi Life, one of the world’s largest insurers, we deliver financial security to millions of Australians through our care and expertise. Bring your curious mind and ambition to shape our industry and help us become the progressive, digitally enabled, leading insurer we aim to be.

Join TAL’s Individual Life business as a Data Scientist in the Actuarial Pricing and Value team, where your work will help shape smarter, more sustainable outcomes for our customers and business. In this role, you’ll use data, analytics and emerging technology to uncover insights that support customer retention, commercial decision-making and long-term value across TAL’s Retail Advised and Direct Life Insurance portfolios. By helping us better understand customer needs and strengthen the way we price, retain and support our customers, you’ll contribute to TAL’s broader purpose of helping Australians protect the choices, options and freedoms that matter most. This is a meaningful opportunity to turn complex data into insight that makes a real difference for customers, partners and the future of life insurance.

This role must be based in Sydney.

• Build scalable data assets that power retention insights, modelling and strategic decision-making.
• Deliver intuitive dashboards and reporting solutions that enable faster, data-led decisions.
• Translate complex analysis into clear insights and recommendations for business stakeholders.
• Modernise analytics processes through automation, AI and cloud-based technologies.
• Apply advanced analytics and emerging technologies to improve customer retention outcomes.
• Champion responsible data and AI practices that support reliable, compliant analytics solutions.
• Bring tertiary qualifications in Data Science, Statistics, Mathematics, Actuarial Studies, Computer Science, or a related quantitative field.
• Have at least 2 years’ industry experience in a data, analytics or related quantitative role.
• Insurance industry experience highly regarded
• Use 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.

• An Inclusive Employer – Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency from 2014 to 2025 and 2023 to 2026 Bronze Tier Status within the Australian Workplace Equality Index
• Diversity Champions – Member of Diversity Council Australia, Australian Disability Network, Pride in Diversity and Champions of Change
• Reconciliation Advocates – Read our [Innovate Reconciliation Action Plan.](
• We welcome applications from people with diverse experiences, perspectives and backgrounds including Aboriginal and Torres Strait Islander people, caregivers, individuals with disability/ies, people from culturally diverse backgrounds and the LGBTQ+ community.
• Need adjustments during the recruitment process? Let our team know by getting in touch with us [here.](mailto:View email address on decentrajobs.com)—we’re here to support you.

As part of the recruitment process, there are several checks which may be conducted to demonstrate your eligibility for a role at TAL including Criminal History, Bankruptcy, Entitlement to Work, Regulatory and Reference Checks.

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Everyone at TAL has a responsibility to do the right thing and is accountable for the way they conduct themselves. Our expectations are that you follow the principles set out in our Code of Conduct when you come to work every day. Risk management is everyone’s responsibility.