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- Tasks: Lead AI and machine learning projects to transform health insurance experiences.
- Company: Vitality, a multi-award-winning UK insurance brand focused on health and wellness.
- Benefits: Competitive salary, bonus schemes, health insurance, and a generous pension plan.
- Why this job: Shape the future of personalised health with cutting-edge AI solutions.
- Qualifications: 5+ years as a data scientist with expertise in machine learning and stakeholder engagement.
- Other info: Join a diverse team in a supportive environment that values your growth.
The predicted salary is between 36000 - 60000 £ per year.
About The Role
Team – Data Science
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:
- Deep Expertise in Machine Learning, Data Science & Technical Tooling
- Strategic Project Leadership & Business Impact Delivery
- High Level Stakeholder Engagement & Communication
What this role is all about:
Vitality is entering a new era powered by Vitality AI. This is where intelligence, data, and personalisation come together to redefine how we help our members live healthier, happier, longer lives. As a Senior Data Scientist, you will play a pivotal role in designing, building, and executing advanced 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.
You will be instrumental in embedding AI safely, responsibly, and at scale across the organisation.
Key Actions
- Lead advanced AI and machine-learning development, delivering the full model lifecycle and building scalable, explainable, production-ready solutions
- Develop cutting-edge models including recommender systems, generative AI, reinforcement learning and other advanced techniques, ensuring high ethical and governance standards
- Drive innovation and shape the Vitality AI roadmap by identifying high-value opportunities, rapidly prototyping ideas, and contributing to reusable frameworks and tooling
- Own end-to-end delivery of high-impact, strategic AI projects, translating complex business needs into measurable solutions and managing multiple workstreams effectively
- Engage and influence stakeholders across the business, clearly communicating insights and building strong relationships to support AI adoption
- Mentor and develop data scientists, steering knowledge-sharing, capability-building and fostering a culture of excellence and continuous improvement
- Champion responsible AI, governance and risk management, identifying risks early and ensuring all models meet safety, regulatory and ethical requirements
- Collaborate with engineering teams to scale AI platforms and infrastructure, deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems
What do you need to thrive?
- Undergraduate degree in statistical subject
- Considerable experience accessing and analysing data using SQL and Python
- Significant experience using commonly used regression and classification algorithms
- Experience (5+ yrs) working as a data scientist
- Expert in the process of building and implementing machine learning models to solve business problems
- Taken a lead role in the management of data science projects
- Communicates effectively to technical and non-technical audiences at all levels of the organisation
- Demonstrable experience of working with the business to identify new projects
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:
- 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.
About The Company
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.
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.
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.
Senior Data Scientist in London employer: Vitality
Contact Detail:
Vitality Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Vitality on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Senior Data Scientist role.
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning knowledge and be ready to discuss your past projects. We want to see how you can apply your skills to real-world problems, so think of examples that showcase your expertise.
✨Tip Number 3
Showcase your communication skills! Since this role involves engaging with stakeholders, practice explaining complex data science concepts in simple terms. This will help demonstrate your ability to connect with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Vitality team.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your deep expertise in machine learning and data science. Use specific examples from your past work to demonstrate how you've led projects and delivered impactful results.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the key skills and experiences mentioned in the job description. This shows us that you’re genuinely interested in the role and understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your ideas effectively, especially since you'll need to engage with stakeholders at all levels.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to track your application and ensure it gets into the right hands!
How to prepare for a job interview at Vitality
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning knowledge, especially the advanced techniques mentioned in the job description. Be ready to discuss your experience with models like recommender systems and generative AI, and how you've applied them in real-world scenarios.
✨Showcase Your Project Leadership
Prepare to talk about your previous projects where you led data science initiatives. Highlight how you managed multiple workstreams and delivered high-impact solutions. Use specific examples to demonstrate your strategic thinking and ability to translate complex business needs into actionable insights.
✨Engage Stakeholders Effectively
Since stakeholder engagement is key for this role, think of instances where you successfully communicated technical concepts to non-technical audiences. Practice explaining your past projects in a way that showcases your ability to build relationships and influence decision-making.
✨Champion Responsible AI
Familiarise yourself with ethical AI practices and governance standards. Be prepared to discuss how you've identified risks in your previous projects and ensured compliance with safety and regulatory requirements. This will show that you not only understand the technical side but also the importance of responsible AI.