Job Description:
Actuarial Data scientist
London EC2R 7HJ
Flexible / Hybrid working options (i.e up to 3 days WFH)
Permanent
Salary £48,800 - £65,500 (Neg) + fantastic benefits (depending on exp. & location).
Full time 37.5 hours
We consider all types of flexibility, including locations, hours and working patterns.
Right from the start you’ll become part of our Actuarial Transformation strategy, joining us on our journey and developing yourself along the way.
Contract: 12‑month secondment
Working pattern: Hybrid/flexible working supported
Join us to modernise our actuarial capabilities and help shape the future of how we work. We’re looking for a curious, collaborative Actuarial Data Scientist to support our transformation to Snowflake, streamline and automate processes, and produce insights that improve how we understand claims and policy data. Your work will help build the tools, models, and governance that make us cloud based and AI ready for years to come.
You’ll report to the Head of Actuarial Transformation and collaborate closely with colleagues across the actuarial space.
If you’re excited by the role but don’t meet every requirement, please apply. We value potential, learning mindset, and transferable experience.
What you’ll do
1. Support & empower colleagues
Help the team get the most from our Snowflake platform, embedding new/undefined processes into day to day work through guidance, pairing, and knowledge sharing.
2. Build models & generate insight
Develop robust models and deliver clear, actionable insights across claims, policy and wider actuarial topics.
3. Identify trends & forecast
Use Snowflake and statistical methods to uncover patterns and support forecasting for decisions that matter.
4. Improve & automate processes
Streamline workflows using SQL, Python, Power BI (and similar tools) to reduce manual effort and create sustainable, reusable solutions.
5. Champion good governance
Keep documentation, testing, version control and controls at the heart of development, contributing to a fit for the future governance framework.
6. Monitor and enhance models
Implement monitoring to ensure reliability and performance, and recommend improvements where needed.
7. Partner across disciplines
Collaborate with data engineers to shape data feeds and requirements for model builds and production.
8. Contribute ideas & continuous improvement
Share best practices and propose practical enhancements to how we work, in a supportive and constructive way.
About you (what you’ll bring)
Essential
9. Strong, hands on experience with Snowflake for data management and analysis.
10. A curious, improvement focused approach — comfortable proposing better ways of working.
11. Experience building and embedding new processes from the ground up.
12. Skilled in statistical modelling and analysis using SQL, Python (or similar).
13. Experience with Git (version control) and wider governance practices.
14. Comfortable working efficiently with large datasets.
15. Ability to translate data trends into insights that inform forecasting and decision making.
16. Experience building and validating predictive models.
17. Ability to automate processes using Snowflake, Python, Power BI, or comparable tools.
18. Clear communicator who can explain technical concepts to varied stakeholders.
19. Experience monitoring model performance and ensuring reliability.
Desirable
20. Experience in, or understanding of, the insurance domain.
21. Knowledge of key actuarial concepts.
22. Experience contributing to data platform transformation or cloud migration.
How we work
23. Flexibility: We support flexible working arrangements (including hybrid and adjusted hours) to help colleagues balance work and life.
24. Learning & growth: This secondment offers opportunities to learn new tools and approaches, build cross functional experience, and develop your influence across the actuarial community.
25. Inclusive culture: We welcome applications from people of all backgrounds. We value diverse perspectives and aim to create a team where everyone feels they belong. If we can make adjustments to support you through the application or interview process, please let us know.
Why this role matters
You’ll help lay the foundations for modern, well governed actuarial data and modelling — creating scalable, cloud based capabilities that colleagues across the function can rely on. The tools and processes you help build will enable better decisions, faster insights, and a more sustainable way of working for years to come.
Benefits
Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health – from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits.
Joining Bupa in this role you will receive the following benefits and more:
· 25 days holiday, increasing through length of service, with option to buy or sell
· Bupa health insurance as a benefit in kind
· An enhanced pension plan and life insurance
· Onsite gyms or local discounts where no onsite gym available
· Various other benefits and online discounts
Why Bupa?
We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.
We encourage all our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That’s why we especially encourage applications from people with diverse backgrounds and experiences.
Bupa is a Level 2 Disability Confident Employer. This means we aim to offer an interview/assessment to every disabled applicant who meets the minimum criteria for the role. We’ll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them.
Time Type:
Full time
Job Area:
Finance & Accounting
Locations:
Angel Court, London, Staines - Willow House