Data Science Manager
Job Description Data Science Manager Function: Data Location: Hybrid working, London or Peterborough office Curious about what’s next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in. We’d love you to be part of our journey: As a Data Science Manager, you’ll lead a team of data scientists focused on building applied AI solutions that drive measurable business impact, from intelligent personalisation to optimised customer journeys and decision systems. A hybrid role encompassing strong leadership as well as technical design, writing high-quality code, and shaping our approach to ML governance and standards. What You’ll Be Doing Team Delivery & Technical Oversight
- Lead a team of data scientists delivering ML and analytics initiatives across product domains
- Guide technical direction, ensuring high standards in modelling, experimentation, and reproducibility
- Balance people leadership with technical contribution, including design, peer reviews, and hands-on coding
- Drive delivery with a focus on sprint planning, scoping, estimation, and accountability to timelines
- Track progress, remove blockers, and ensure timely delivery of high-impact solutions
- Work closely with cross-functional leads to align roadmaps and prioritise high-impact opportunities
- Translate strategic goals into well-scoped projects and ensure they are resourced and delivered effectively
- Advocate for data science in planning, helping stakeholders understand what’s possible
- Coach and mentor your team through regular feedback, career conversations, and technical support
- Support hiring, onboarding, and development initiatives across data science
- Contribute to a high-performing, inclusive, and curious team culture
- Champion scalable, responsible, and maintainable approaches to deploying AI in production
- Collaborate on improving workflows, observability, and documentation standards
- Contribute to model governance practices including validation, explainability, and testing
- Proven leadership of data science teams and delivery of applied ML solutions
- Hands-on expertise in Python, modelling, and statistical methods
- Ability to balance technical contribution with people and project leadership
- Experience working in agile environments with clear accountability to delivery timelines
- Strong stakeholder influence and communication skills
- A degree in a quantitative discipline or equivalent experience applying ML in production