Team – Data Science and AI
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:
- Demonstrated Machine Learning Expertise
- Advanced Python & SQL Mastery
- Proven Stakeholder Collaboration
What this role is all about:
We're looking for a Data Scientist to play a key role in transforming underwriting and claims through data, AI and advanced analytics. You'll work across data science, technology and business operations to convert complex data into practical insights and solutions. These solutions will support better outcomes, improve operational efficiency and enhance customer outcomes.
You'll solve real-world business obstacles, partner with experts from across the organisation and contribute to the next generation of AI-enabled underwriting and claims capabilities.
Key Actions
- Apply data science, machine learning and AI techniques to improve underwriting and claims decision-making, customer outcomes and business performance
- Develop predictive models, analytical tools and dashboards that provide actionable insights and support operational excellence
- Work with complex and diverse data sources to identify trends, risks and opportunities across underwriting and claims journeys
- Take ownership of data science initiatives from problem definition through to implementation, ensuring solutions deliver measurable value
- Identify opportunities to automate manual processes, streamline workflows and improve efficiency across the customer lifecycle
- Collaborate with Underwriting, Claims, Medical, Product and Technology teams to understand challenges and develop effective data-driven solutions
- Build and maintain robust datasets, analytical assets and scalable models that support long-term business capability
- Evaluate and implement AI-powered solutions, including intelligent decision support and workflow automation capabilities
- Communicate technical findings and recommendations clearly to a range of stakeholders, translating complex analysis into meaningful business insight
- Support the growth of data-driven decision making and contribute to the development of innovative underwriting and claims capabilities
What do you need to thrive?
- Degree in Data Science, Mathematics, Statistics, Computer Science or a related numerical discipline
- Proven experience applying data science, machine learning and AI techniques to solve complex business problems
- Strong SQL and Python skills with the ability to analyse, manipulate and model large datasets
- Experience developing and deploying predictive models within a commercial environment
- Ability to translate complex analysis into clear, actionable insights for a range of stakeholders
- Strong stakeholder management skills with experience working across business and technical teams
- Commercial mindset with a focus on delivering measurable business value and operational improvements
- Experience working with version control and collaborative code repositories such as GitHub or Bitbucket
So, what’s in it for you?
- 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
These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!
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
We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.
We’re incredibly proud to be recognised for the culture we've created — recently being named one of Glassdoor’s Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards.
Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.
We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits. We’re successful because we attract, develop, and retain the best people – and because we care.
Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out.
Ready to find out if we’re the right fit for you? We can’t wait.
Diversity & Inclusion
At Vitality, we’re committed to diversity and inclusion because it’s good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.
Vitality’s approach to sustainability
Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. #LI-Hybrid
If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.
