Senior Data Scientist (12 Month FTC)

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London / £75000 - £90000 annum

INFO

Salary

RATE:

£75000 - £90000

Location

LOCATION

London

Job Type
JOB TYPE

Contract

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
  • 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.


What you'll be doing

  • 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

Tech 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, APIs

What you bring

Core 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 projects

Nice 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 production

Why 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 business

Interview 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

CONTACT

Kelsey Norris

Recruitment Consultant

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