At a Glance
- Tasks: Build and deploy innovative AI products using LLMs and GenAI in a collaborative team.
- Company: Join a leading consumer health organisation focused on impactful AI solutions.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with high visibility across the business.
- Why this job: Make a real impact with cutting-edge technology in a dynamic environment.
- Qualifications: 5+ years in data science, strong ML foundation, and experience with LLMs.
The predicted salary is between 60000 - 80000 € per year.
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.
Responsibilities
- 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
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
Senior Data Scientist (12 Month FTC) in London employer: Harnham
Join a leading consumer-focused organisation that prioritises innovation and employee growth, offering a dynamic work culture where data and AI are at the forefront of business strategy. As a Senior Data Scientist, you'll have the opportunity to work on impactful AI products in a collaborative environment, with strong leadership support and visibility, ensuring your contributions are recognised and valued. With flexible working arrangements and a focus on real-world applications, this role promises a rewarding experience for those looking to make a significant impact in the consumer health and insurance space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (12 Month FTC) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI or data science. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with LLMs and GenAI. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your projects! If you've built any AI products or worked on significant data science projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to exciting AI solutions.
We think you need these skills to ace Senior Data Scientist (12 Month FTC) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with LLMs, GenAI, and traditional ML techniques in your application. We want to see how you've tackled complex problems and built real AI products, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Senior Data Scientist role. Use keywords from the job description to show that you understand what we’re looking for and how you fit in.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the specific tools mentioned in the job description like GCP, Docker, and Kubernetes. Brush up on your experience with LLMs and GenAI, as you'll likely be asked to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex, unstructured problems you've tackled in the past. Be ready to explain your thought process and the end-to-end solutions you developed, especially focusing on how you built and deployed AI products rather than just proof-of-concepts.
✨Engage with Stakeholders
Since this role involves working closely with business stakeholders, think of examples where you've successfully collaborated with non-technical teams. Highlight your communication skills and how you’ve translated technical requirements into actionable insights for stakeholders.
✨Prepare for Cultural Fit
The first interview will focus on culture fit, so reflect on what makes you a good match for their collaborative environment. Think about your experiences in cross-functional teams and how you can contribute to a positive team dynamic while driving innovative solutions.
