Data Scientist / Data Analyst – Customer Retention

About the role

Join TAL’s Individual Life business as a Data Scientist in the Actuarial Pricing and Value team. You will use data, analytics and emerging technology to uncover insights that support customer retention and commercial decision‑making across TAL’s retail advised and direct life insurance portfolios.

Key responsibilities

• 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.

Required profile

• tertiary qualification in Data Science, Statistics, Mathematics, Actuarial Studies, Computer Science or a related quantitative field.
• At least 2 years of industry experience in a data, analytics or related quantitative role.
• Insurance industry experience is highly regarded.

Required skills

• Strong SQL skills for data preparation, exploration and transformation.
• Proficiency in Python and/or R for analytical, statistical or machine‑learning modelling.
• Experience creating dashboards and reports using Power BI or similar tools.