Senior Data Scientist – Data & AI Solutions
Location: Hybrid, London or Peterborough office
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.
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.
Responsibilities
- Lead ML and analytics initiatives end‑to‑end, from exploration through to deployment and monitoring, collaborating with ML Engineers on productionization.
- Translate business and customer problems into structured, measurable ML solutions.
- Design and interpret experiments and A/B tests with scientific rigor.
- 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 prioritize work, communicating outcomes clearly.
- Mentor junior data scientists and contribute to standards across the wider Data & AI Solutions chapter.
Required Qualifications
- Proven experience delivering ML solutions with measurable business impact.
- Strong Python and modeling fundamentals – supervised and unsupervised methods, statistical analysis, feature engineering.
- Track record of 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.
Highly Valued
- Hands‑on experience with LLM‑based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangChain or LangGraph.
- 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.
Why Compare the Market?
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.
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