Data Scientist

BUPA
London, GB
Hybrid

Job Description

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

  • 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.

  • 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. 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 heal

Skills & Requirements

Technical Skills

SnowflakeSqlPythonPower biGitStatistical modelingAnalysisAutomationProcessesForecastingMonitoringModel performanceData feedsRequirementsModel buildsProductionGovernanceVersion controlControlsDevelopmentToolsModelsCloud basedAi readyCuriousCollaborativeImprovement focusedComfortable proposing better ways of workingSkilled in statistical modeling and analysisComfortable working efficiently with large datasetsAbility to translate data trends into insightsAbility to automate processesClear communicatorAbility to monitor model performanceInsuranceActuarial

Salary

£48,800 - £65,500

year

Employment Type

FULL TIME

Level

mid

Posted

4/19/2026

Apply Now

You will be redirected to BUPA's application portal.