At a Glance
- Tasks: Uncover insights using data to boost customer retention and support smart decision-making.
- Company: Join TAL, a leader in life insurance with a focus on customer care.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a dynamic Sydney-based team with a purpose-driven mission.
- Why this job: Make a real impact by turning complex data into meaningful insights for customers.
- Qualifications: Experience in data analysis and a passion for using technology to solve problems.
The predicted salary is between 49500 - 60500 $ per year.
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.
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