Data Scientist/Data Analyst – Customer retention

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

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.

Requirements

• 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 highly regarded
• Strong SQL skills to prepare, explore and transform data into meaningful insights
• Ability to apply Python and/or R to develop analytical, statistical or machine learning models
• Ability to create clear dashboards and reporting solutions using Power BI or similar tools
• Ability to communicate complex insights clearly with both technical and non-technical stakeholders

Benefits

• Well-being initiatives designed to support your mental and physical health
• Flexible working options
• Work-life balance
• Inclusive Employer
• Diversity Champions
• Reconciliation Advocates

Tagged as: Data Analysis