* Before submitting your application, you should read our to understand how Bupa will use, store and share your information.* For Australia or New Zealand candidates - Before submitting your application, you should read our to understand how Bupa will use, store and share your information.Data Scientist page is loaded## Data Scientistlocations: Central London: Stainestime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 26, 2025 (29 days left to apply)job requisition id: R1193268Job Description:**Actuarial Data scientist****London (EC2R 7HJ) or Staines (TW18 3DZ)****Flexible / Hybrid working options (i.e up to 4 days WFH)****Permanent****Salary up to £55K per annum dependent upon experience****Full time 37.5 hours We consider all types of flexibility, including locations, hours and working patterns.****We make health happen****At Bupa, we’re passionate about technology. With colleagues, customers, patients and residents in mind you’ll have the opportunity to work on innovative projects and make a real impact on their lives.****Right from the start you’ll become part of our digital & data strategy, joining us on our journey and developing yourself along the way.**We are looking for a talented Actuarial Data Scientist to join our team. In this role, you will contribute to the development of models related to reserving, planning, and reporting workstreams using statistical models and software. You will engage in self-directed project work and collaborate with stakeholders across Pricing, Finance, and Healthcare Management.This is all about developing you, your actuarial techniques to demonstrate value from data.Additionally, you will leverage our new data platform on Snowflake to drive trend insights and forecasting for BUPA. If you are passionate about data science and eager to make an impact, we would love to hear from you!**How you’ll help us make health happen:*** Build reserving, planning and reporting models: Utilise Bupa’s cutting-edge data platform to uncover trends and support claims reserving and annual operating planning.* Forecast expected levels of claims inflation in different areas of the business.* Detect new trends and changes in data to enhance forecasting accuracy.* Model Building & Insights: Create impactful timeseries models (and other models as required) and deliver actionable insights to stakeholders.* Identify Trends in Insurance Data: Use a range of statistical models and software (e.g., SAS, R, Python) to understand how member, provider, claim, demographic, and other external data link to our volumes and claim spend.* Present Data: Use appropriate visualisation tools (e.g., PowerBI, Tableau) to present data.* Communicate Insights: Effectively communicate insights to the wider business to help steer company strategy (e.g., Reserving, Planning, Pricing, Claims Management).* Automate Processes: Streamline processes using Python, Power BI, and other tools.* Monitor Models: Ensure the reliability and performance of models through effective monitoring.* Handle Large Data Sets: Work with both structured and unstructured data to derive insights.* Collaborate with Engineers: Partner with data engineers to define requirements for model builds and data feeds.* Innovate & Challenge Norms: Lead best practices and challenge existing processes to drive innovation.* Support & Train Team: Help colleagues get the most out of our new data platform.**Key Skills / Qualifications needed for this role:*** Snowflake Expertise: Advanced proficiency in using Snowflake for data management and analysis.* Skilled in statistical modelling and analysis using tools such as SAS, R, Python, etc.* Experienced in handling large datasets, both structured and unstructured.* Capable of identifying and analysing trends in data to support forecasting and decision-making.* Proficient in building and validating timeseries and other predictive models.* Competent in automating processes using Python, Power BI, or similar tools.* Adept at presenting data using visualisation tools like PowerBI, Tableau, etc.* Strong communication skills for effectively conveying insights to various stakeholders.* Proactive in challenging existing processes and driving innovation.* Experienced in monitoring model performance and ensuring reliabilityDesirable Qualities:* Experience or understanding of the Insurance industry.* Actuarial Concepts: Knowledge of key actuarial principles.* Transformation Experience: Background in environments undergoing data platform transformation.**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 discountsWe’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 timeJob Area:Finance & AccountingLocations:Angel Court, London, Staines - Willow House
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