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Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week.
We are happy to discuss flexible working!
Top 3 skills needed for this role:
- Strong hands‑on experience with Python, SQL, and core machine learning algorithms
- Ability to deliver end‑to‑end data science workstreams
- Clear communication and stakeholder collaboration skills
Vitality is entering a new era powered by Vitality AI, where intelligence, data, and personalisation come together to redefine how we help our members live healthier, happier, longer lives. As a Data Scientist, you will contribute to designing, building, and deploying machine learning and AI solutions that sit at the heart of Vitality’s transformation.
Your work will help shape the next generation of personalised health insurance and wellness experiences, contributing to embedding AI safely, responsibly, and at scale across the organisation.
Key Actions
- Contribute to Advanced AI and Machine Learning Development: Support delivery of the machine learning lifecycle, including data ingestion, exploration, feature engineering, modelling, evaluation, and assisting with deployment and monitoring
- Help Drive Innovation and Shape AI Opportunities: Identify where analytics or machine learning can improve business performance or member value
- Deliver High‑Impact Project Work: Own well‑defined workstreams within larger projects, delivering high‑quality outputs that support commercial or customer outcomes
- Engage Stakeholders and Support AI Adoption: Work with teams across actuarial, operations, product, engineering, commercial, and clinical areas to understand needs and help shape solutions
- Contribute to Developing the Data Science Community: Participate in knowledge sharing sessions, workshops, and learning initiatives
- Support Responsible AI, Governance, and Risk Management: Apply responsible AI principles and follow model governance frameworks
- Collaborate to Scale AI Platforms and Infrastructure: Work with engineering and ML teams to deploy models and monitor them in production
- Maintain, Improve, and Operate Models in Production: Monitor model performance using defined KPIs and raise issues when thresholds are breached
- Undergraduate degree in a numerical subject
- Strong knowledge of Microsoft Office tools
- Extensive experience accessing and analysing data using SQL and Python
- Experience in contributing and managing a shared code repository (e.g. Github, Bitbucket)
- Expertise in using commonly used regression and classification algorithms
- Experience (2-5 years) working as an associate/graduate data scientist or data scientist
- Bonus Schemes - A bonus that regularly rewards you for your performance
- A pension of up to 12%- We will match your contributions up to 6% of your salary
- Our award-winning Vitality health insurance - With its own set of rewards and benefits
- Life Assurance - Four times annual salary
If you are successful in your application and join us at Vitality, this is our promise to you, we will:
- Help you to be the healthiest you’ve ever been.
- Create an environment that embraces you as you are and enables you to be your best self.
- Give you flexibility on how, where and when you work.
- Help you advance your career by playing you to your strengths.
- Give you a voice to help our business grow and make Vitality a great place to be.
- Give you the space to try, fail and learn.
- Provide a healthy balance of challenge and support.
- Recognise and reward you with a competitive salary and amazing benefits.
- Be there for you when you need us.
- Provide opportunities for you to be a force for good in society.
Key Skills
Ranked by relevanceReady to apply?
Join Vitality and take your career to the next level!
Application takes less than 5 minutes

