Data Scientist/Data Analyst – Customer retention
Sydney, NSW, Australia
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- R
- SQL
- Power BI
Source — Tool mentions in context
- 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.
- 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.
- 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.
Job description
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 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, 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.
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, 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.
Additional Information
TAL is one of Australia’s leading life insurers, committed to inclusion, and supporting the career growth of our diverse workforce. We’re proud to be:
- 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.—we’re here to support you.
You’re always accountable for your actions. You never give up. You strive to find the best outcomes for customers and partners. And you value working together to find the best solutions for problems.
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.
#LI-Hybrid
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.
If you are already a TAL employee please apply via the SmartRecruiters button in Workday and navigate to the Employee Portal. This is important to ensure that your application is recorded accurately.
Company Description
- Shape the future of insurance with innovative ideas and technologies that improve the lives of millions of Australians
- Take advantage of well-being initiatives designed to support your mental and physical health, ensuring a balanced lifestyle
- Enjoy work-life balance with flexible working options, and well-being initiatives that prioritise your health
Reimagine Your Career with TAL
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sydney, NSW, Australia
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. In this role you will:
More source context
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. #LI-Hybrid 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 8, 2026
- Recorded sightings
- 3
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.