Senior Data Scientist (12 Month FTC)

Are you a Senior Data Scientist who's moved beyond traditional modelling into LLMs, GenAI, and production AI systems

I'm hiring for a Senior Data Scientist to join a high-impact AI team within a leading consumer-focused organisation. This is a hands-on, end-to-end AI role working on large, complex, unstructured problems - building real products, not proof-of-concepts.

A well-established organisation in the consumer health / insurance space, offering products that combine financial services with incentives for healthier living (including subscription-led rewards models).

Data and AI are central to how the business operates, with strong investment and leadership visibility - giving this team real ownership over innovative, business-critical solutions.

You'll sit within a specialist AI team, working alongside both classical data scientists and AI engineers.

This team focuses on:

• LLMs, GenAI, and agentic workflows
• Solving unstructured, complex problems
• Building AI products used across underwriting, claims, customer experience, and more

Expect to work on 1-2 major projects, with high-impact, end-to-end ownership.

• Build and deploy LLM-based applications, including RAG systems, chatbots, and agentic workflows
• Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate
• Design and deliver end-to-end AI systems from discovery to production
• Develop agentic workflows across areas like underwriting and claims
• Work closely with business stakeholders to define requirements and shape solutions
• Deploy models using modern MLOps practices (APIs, microservices, CI/CD, containers)
• Collaborate with engineers, product teams, and senior stakeholders across the business

• Python & SQL (essential)
• GCP (preferred, but flexible depending on experience)
• LLMs / GenAI / RAG / agentic frameworks (LangChain, LlamaIndex etc.)
• MLOps tools: Git, CI/CD, Docker, Kubernetes, APIs

• 5+ years in data science / machine learning
• Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling)
• Hands-on experience with LLMs / GenAI / NLP / AI systems
• Experience deploying models into production (not just experimentation)
• Familiarity with MLOps, CI/CD, and containerisation
• Strong stakeholder skills - comfortable working with department heads and leading projects

• Experience in regulated industries (insurance, finance, etc.)
• Customer-focused product experience
• Strong academic background in a quantitative field
• Exposure to building agentic workflows or RAG systems in production

• Work on real AI products, not just experimentation
• End-to-end ownership across modelling, deployment, and impact
• Exposure to cutting-edge GenAI and agentic systems
• Highly collaborative, cross-functional environment
• Strong visibility across the business

• 30-minute culture fit interview
• Technical interview (solution design + deployment / ML discussion)
• Final interview with senior leadership (CDO)

• 2 days per week in London (flexible for Midlands candidates)
• Ideally Tues/Weds in office
• Cross-functional, collaborative environment with strong stakeholder interaction