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- Tasks: Build and deploy innovative AI products using LLMs and GenAI in a collaborative team.
- Company: Leading consumer-focused organisation with a strong focus on health and financial services.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic, cross-functional environment with high visibility and ownership of projects.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI technology.
- Qualifications: 5+ years in data science, strong ML foundation, and hands-on experience with LLMs.
The predicted salary is between 70000 - 90000 £ 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.
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
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
Senior Data Scientist- FTC in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist- FTC in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can lead to insider info and even referrals that could get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and GenAI. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company and its products, and think about how your experience aligns with their needs. Practise common interview questions, especially around deploying AI systems and stakeholder collaboration.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Plus, it shows initiative and enthusiasm, which we really appreciate!
We think you need these skills to ace Senior Data Scientist- FTC in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your hands-on experience with LLMs, GenAI, and any production AI systems you've worked on. We want to see how you’ve tackled complex problems in the past!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: Since this role requires a solid foundation in Python, SQL, and MLOps practices, make sure to list these prominently in your application. We love seeing candidates who can deploy models into production, so share any relevant experiences you have!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description, especially Python, SQL, and any MLOps tools like Docker and Kubernetes. Brush up on your experience with LLMs and GenAI, as these will likely be hot topics during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled complex, unstructured problems in the past. Think about projects where you built real products rather than just proof-of-concepts, and be ready to explain your thought process and the impact of your solutions.
✨Engage with Stakeholders
Since this role involves working closely with business stakeholders, practice articulating how you’ve collaborated with non-technical teams in previous roles. Highlight your ability to translate technical jargon into layman's terms and how you’ve shaped solutions based on stakeholder feedback.
✨Prepare for Cultural Fit
The first interview is a culture fit interview, so think about what makes you a good fit for their team. Reflect on your values and work style, and be ready to discuss how they align with the company’s mission and collaborative environment.