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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 data and AI.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with end-to-end ownership of high-impact projects.
- Why this job: Make a real impact by solving complex problems with cutting-edge technology.
- Qualifications: 5+ years in data science, experience with LLMs, and strong stakeholder skills.
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
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) 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 (12 Month 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 open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got projects or case studies that highlight your experience with LLMs and GenAI, make sure to showcase them. A portfolio can speak volumes about your capabilities beyond what's on your CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've tackled complex problems in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a chance to connect directly with our team and show us why you're the perfect fit for the role.
We think you need these skills to ace Senior Data Scientist (12 Month FTC) in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and data science shine through. We want to see how you've moved beyond traditional modelling into LLMs and GenAI, so share specific examples of your hands-on experience with these technologies.
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the role. Highlight your experience with deploying models into production and working on complex, unstructured problems. We love seeing how your skills align with our needs!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that showcases your qualifications without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
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 be crucial in demonstrating your hands-on capabilities.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex, unstructured problems. Think about how you’ve built AI products from scratch 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 gather requirements and shape solutions. Be prepared to share experiences where you’ve successfully collaborated with non-technical teams to deliver impactful results.
✨Prepare for Technical Discussions
Expect technical interviews to dive deep into solution design and deployment. Brush up on traditional ML techniques and be ready to discuss how you’ve deployed models into production, not just in experimental settings. This is your chance to shine!