Data Scientist

Actuarial Data Scientist

Location: London EC2R 7HJ

Working Options: Flexible / Hybrid working options (i.e up to 3 days WFH)

Contract: Permanent

Salary: £48,800 - £65,500 (Negotiable) + fantastic benefits (depending on experience and location)

Hours: 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.

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:

• Support & empower colleagues: Help the team get the most from our Snowflake platform, embedding new processes into day-to-day work through guidance, pairing, and knowledge sharing.
• Build models & generate insight: Develop robust models and deliver clear, actionable insights across claims, policy, and wider actuarial topics.
• Identify trends & forecast: Use Snowflake and statistical methods to uncover patterns and support forecasting for decisions that matter.
• Improve & automate processes: Streamline workflows using SQL, Python, Power BI (and similar tools) to reduce manual effort and create sustainable, reusable solutions.
• Champion good governance: Keep documentation, testing, version control, and controls at the heart of development, contributing to a fit-for-the-future governance framework.
• Monitor and enhance models: Implement monitoring to ensure reliability and performance, and recommend improvements where needed.
• Partner across disciplines: Collaborate with data engineers to shape data feeds and requirements for model builds and production.
• 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:

• Strong, hands-on experience with Snowflake for data management and analysis.
• A curious, improvement-focused approach — comfortable proposing better ways of working.
• Experience building and embedding new processes from the ground up.
• Skilled in statistical modelling and analysis using SQL, Python (or similar).
• Experience with Git (version control) and wider governance practices.
• Comfortable working efficiently with large datasets.
• Ability to translate data trends into insights that inform forecasting and decision-making.
• Experience building and validating predictive models.
• Ability to automate processes using Snowflake, Python, Power BI, or comparable tools.
• Clear communicator who can explain technical concepts to varied stakeholders.
• Experience monitoring model performance and ensuring reliability.

Desirable:

• Experience in, or understanding of, the insurance domain.
• Knowledge of key actuarial concepts.
• Experience contributing to data platform transformation or cloud migration.

How we work:

• Flexibility: We support flexible working arrangements (including hybrid and adjusted hours) to help colleagues balance work and life.
• Learning & growth: This secondment offers opportunities to learn new tools and approaches, build cross-functional experience, and develop your influence across the actuarial community.
• 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.

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:

• 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. 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 encourage all our people to “Be you at Bupa.” We champion diversity and understand the importance of our people representing the communities and customers we serve.

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.

Time Type: Full time

Job Area: Finance & Accounting

Locations: Angel Court, London, Staines - Willow House