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 a 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 Expertise in the process of building and implementing machine learning models to solve business problems Experience taking 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

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

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