Senior Data Scientist

Function: Data & AI Solutions
Location: Hybrid, 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.

Compare the Market is shifting from a business that answers data questions to one that builds the intelligence powering our AI platform - signals detected, decisions shaped, actions triggered.

As a Senior Data Scientist in Data & AI Solutions, you will lead the design and build of models and pipelines at the heart of our AI platform - from understanding how hundreds of insurance partners price risk, to predicting which customers need a better deal, to powering personalisation. Your job is to build the systems that surface answersthatdon'tyet exist in the data.

We want someone who thinks in systems, with curiosity across the modern data science stack and depth in at least one area. We are actively developing agentic AI and want a Senior Data Scientist ready to deepen theirexpertiseand contribute from a specific angle.

You will lead by doing, raising the bar for those around you and working closely with ML engineering, product, and commercial colleagues.

• Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers onproductionisation
• Translate business and customer problems into structured, measurable ML solutions
• Design and interpret experiments and A/B tests with scientific rigour
• Champion responsible, auditable AI - owning model performance in production, knowing when a system is degrading and how to address it, in a regulated financial services environment where precision and explainability matter
• Navigate the tooling landscape: knowing when classical ML is right, when an LLM adds value, when an agentic approach is needed
• Work with commercial, product, and engineering colleagues to scope and prioritise work, communicating outcomes clearly
• Mentor junior data scientists and contribute to standards across the wider Data & AI Solutions chapter

• Proven experience delivering ML solutions with measurable business impact
• Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering
• A track recordof taking models to production and owning their performance: monitoring, degradation, retraining
• Ability to collaborate effectively with engineering teams on deployment and ML lifecycle
• Clear communication - able to make technical work legible to commercial and product audiences

• Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such asLangChainorLangGraph
• Familiarity with multi-step agentic AI patterns
• Experience in financial services or another regulated sector
• MLflow, model registries, or similar ML lifecycle tooling
• Exposure to cloud ML platforms - GCP Vertex AI, AWS SageMaker, or equivalent

We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.

We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.

If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you.

• Job Identification 100266
• Job Category Data & Analytics
• Posting Date 06/18/2026, 08:56 AM
• Job Schedule Full time
• Locations London, United Kingdom Peterborough, Cambridgeshire, United Kingdom