Join a leading organisation using cutting-edge data science to transform how people access healthcare. With AI capabilities scaling fast, we’re hiring a hands-on Data Science Manager to lead and grow a high-performing team.

What you’ll be doing:

You’ll lead a collaborative and technically strong team of data scientists working on real-world AI applications across pricing, claims, customer behaviour, and more. This is a hybrid role, blending team leadership with hands-on coding, experimentation, and model development. You’ll help shape the strategic direction of AI projects, from GenAI to more traditional machine learning, translating business needs into impactful solutions. Working closely with engineering, product, and analytics colleagues, you’ll ensure seamless delivery from proof of concept to production while clearly communicating insights to non-technical stakeholders.

What we’re looking for:

• Proven experience leading and mentoring data scientists in a commercial setting
• Currently working as a Data Science Manager, Lead Data Scientist or similar
• Experience working on GenAI/MLOps and similar projects
• Strong track record of delivering machine learning or AI projects end-to-end
• Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark
• Deep understanding of data science best practices, including MLOps
• Strong stakeholder communication skills—able to translate complex insights into business impact
• Experience working in cross-functional teams with engineering, architecture, and product
• Knowledge of the insurance or financial services industry would be a bonus
• Comfortable working with unclean or unbalanced datasets, and familiarity with synthetic data is a plus

What’s in it for you:

• A salary of £90,000 plus benefits and bonus
• Structured learning time (2 hours a week), hackathons, and coaching
• Flexible hybrid working (2–3 days a week on-site)
• Great pension, life assurance, and employee discounts

Interested?

Apply with your CV, and we’ll be in touch if it’s a good fit! Questions? Drop Tegan a message.