Senior Data Scientist (12 Month FTC)
1 day ago
London
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. The company 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. Where you fit 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, • 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 businessTech stack, • 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, APIsWhat you bringCore requirements, • 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 projectsNice to have, • 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 productionWhy this role, • 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 businessInterview process, • 30-minute culture fit interview, • Technical interview (solution design + deployment / ML discussion), • Final interview with senior leadership (CDO)Working style, • 2 days per week in London (flexible for Midlands candidates), • Ideally Tues/Weds in office, • Cross-functional, collaborative environment with strong stakeholder interaction