Data Scientist - Customer Retention

TAL Services Limited; Sydney; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Flexible working

Learning opportunities

Insurance cover

Wellbeing programs

Leave benefits

Rewards discounts

Job summary

TAL Services Limited is seeking a Data Scientist in Sydney to join the Actuarial Pricing and Value team. You will leverage data analytics, ML and cloud tech to uncover insights that support retention, pricing and long-term value across TAL's Retail Advised and Direct Life Insurance portfolios.

The role focuses on turning complex data into actionable insights, delivering dashboards, and collaborating with business stakeholders to drive smarter decisions. This position must be based in Sydney.

Qualifications

• Tertiary qualification in data-related field.
• Minimum 2 years in data science/analytics.
• Insurance industry experience highly regarded.
• Strong SQL skills to prepare and transform data.
• Python and/or R for modeling.
• Dashboards and reporting using Power BI or similar.
• Clear communication with technical and non-technical stakeholders.

Responsibilities

• Build scalable data assets powering retention insights and predictive models.
• Deliver dashboards and reporting to enable data-led decisions.
• Translate analyses into clear stakeholder recommendations.
• Modernise analytics with automation, AI and cloud tech.
• Apply advanced analytics to improve retention outcomes.
• Champion responsible data and AI practices.

Skills

Data science

Statistical methods

Machine learning

Data storytelling

Stakeholder comms

Education

Bachelor's in data-related field

Tools

SQL

Python

R

Power BI

Job description

Welcome to TAL. As a leading life insurer,we'vebeen protecting Australians for over 150 years. Backed by Daiichi Life,we'redriven by big ambitions and empower to create better products and services.

Together with our Partners,we'rehelping millions of Australians live a life filled with choices, options, and freedoms. See the direct impact you make delivering support and financial security with care andexpertise. Grow beyond expectations with diverse roles, global connections, and exclusive learning opportunities.

Work with passionate,brightand capable colleagues. Feel inspired by supportive leaders. Collaborate with heart, where flexibility, wellbeing and inclusivity is valued. Together,we'rereimagining insurance.

Bring your curiosity, ambition and unique perspective, and help us continue reimagining insurance through innovative thinking, digital capability and a commitment to better outcomes for the people who depend on us.

Job Description

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, machine learning 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.

In this role you will:

• Build scalable data assets that power retention insights, predictive 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 machine learning methods to improve customer retention outcomes.
• Champion responsible data and AI practices that support reliable, compliant analytics solutions.

Qualifications

• 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 science, 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.

Benefits
At TAL, we're committed to helping our people thrive both professionally and personally. Depending on your role and eligibility, benefits may include:

• Flexible and blended ways of working that support your work and personal commitments.
• Access to learning, leadership development programs, LinkedIn Learning and global career opportunities through the Daiichi Life Group.
• TAL-funded Life, Income Protection and Total & Permanent Disability insurance, plus employee insurance discounts.
• Wellbeing support including Employee Assistance Program services, wellbeing resources, annual flu vaccinations and health initiatives.
• Additional leave benefits including paid parental leave, wellbeing leave, community leave and purchased leave options.
• Access to TAL Rewards Plus, offering discounts at hundreds of popular retailers and services.

Our Commitment to Inclusion
We're proud to be recognised as an Employer of Choice for Gender Equality and maintain partnerships with organisations including Diversity Council Australia, Australian Disability Network and Pride in Diversity. Through our Innovate Reconciliation Action Plan, we're also committed to building meaningful relationships, creating opportunities and contributing to positive outcomes for Aboriginal and Torres Strait Islander peoples.

We welcome applications from people with diverse experiences, perspectives and backgrounds and are committed to providing an inclusive recruitment experience for all candidates. Need adjustments during the recruitment process? Let our team know by getting in touch with us here we're here to support you.