At a Glance
- Tasks: Build and deploy innovative AI products using LLMs and GenAI in a collaborative team.
- Company: Join a leading consumer-focused organisation at the forefront of AI technology.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with high visibility and ownership over impactful projects.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI solutions.
- Qualifications: 5+ years in data science, strong ML foundation, and hands-on 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.
The company is 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
- 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) employer: Harnham - Data & Analytics Recruitment
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 health and well-being, this role not only promises professional development but also a rewarding work-life balance.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (12 Month FTC)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or data science roles. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and GenAI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with deploying models and collaborating with stakeholders, as these are key in this role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist (12 Month FTC)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with LLMs, GenAI, and traditional ML techniques. We want to see how you've tackled complex problems and built real products, so don’t hold back on the details!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Use keywords from the posting to show us you understand what we're looking for and how you fit into our AI team.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows us you're serious about joining our team!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of LLMs, GenAI, and MLOps practices. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex, unstructured problems you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your end-to-end ownership of AI projects.
✨Engage with Stakeholders
Since this role involves working closely with business stakeholders, think of examples where you've successfully collaborated with non-technical teams. Show how you can translate technical jargon into business value and ensure everyone is on the same page.
✨Be Ready for Technical Challenges
Expect technical questions that dive deep into your experience with Python, SQL, and deploying models. Practice explaining your thought process when designing AI systems and be prepared to discuss your approach to CI/CD and containerisation.
