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 their expertise and 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.

Some Of The Great Things You'll Be Doing

• Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers on productionisation
• 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

The Essentials

What we'd like to see from you:

• Proven experience delivering ML solutions with measurable business impact
• Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering
• A 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.