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- Lead real-world AI projects in healthcare
- Blend hands-on coding with team leadership
- Work across GenAI, ML & commercial strategy
Were working with a market-leading health-focused organisation thats using cutting-edge data science and AI to reshape how people access and experience healthcare. Theyve built a strong data science function thats now growing againthis time with a key leadership role.
What youll be doing:
Theyre looking for a Data Science Manager to lead a small but strong team across a range of live and upcoming projects spanning traditional AI, GenAI and machine learning. The environment is genuinely collaborative, with a healthy investment in tools, learning, and innovation. This role offers the rare opportunity to stay hands-on with the tech while also stepping into a strategic leadership position with strong support from above.
Youll be responsible for managing and mentoring a team of four data scientists working on complex data challenges with real-world impact. Youll be involved in projects across multiple domainsranging from pricing optimisation and claims management to customer behaviour modelling and new GenAI initiatives.
Day to day, youll split your time between technical delivery, people leadership, and cross-functional collaboration. Youll be the person who can understand the scientific complexity but communicate its value clearly to non-technical stakeholders, helping drive commercial outcomes from data insights. The role will report into an experienced leader whos happy to give you room to lead while offering support as needed.
Theres also a strong emphasis on upskilling and internal learning. Think regular hackathons, dedicated learning time (two hours every week), and a real culture of investing in the team.
What experience youll need to apply:
- Currently working as a Data Science Manager, Lead Data Scientist or similar
- Proven experience leading or mentoring data scientists within a commercial environment
- Experience working on GenAI/MLOps and similar projects
- Solid background delivering AI/ML projects end-to-end, with real business impact
- Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark
- Strong understanding of model deployment and MLOps best practices
- Ability to work with real-world, unbalanced and messy datasets
- Skilled in translating technical work into insights for non-technical stakeholders
- Experience working across cross-functional teams (engineers, architects, analysts)
- Sector experience in healthcare, finance or insurance is beneficial but not essential
What youll get in return:
- Up to £90,000 basic salary depending on experience
- Annual bonus linked to company and personal performance
- Great pension, life assurance and more!
- Hybrid working typically 23 days per week
Whats next?
Apply with your updated CV and well be in touch to talk through the opportunity in more detail. Any questions in the meantime? Drop Tegan a message happy to chat it through!
