Data Scientist

Data Scientist

Location: London (Hybrid - 2-3 days on-site)
Salary: £65,000-£75,000 + benefits

The Role

We are working with a well-established financial services organisation undergoing a significant investment in its data and AI capabilities.

They are looking for a hands-on Generative AI Data Scientist to help drive the development and deployment of GenAI solutions across the business. This role is focused on practical application - building and scaling real-world use cases rather than purely research-led initiatives.

You will work on a variety of projects, including intelligent automation, document processing, internal copilots, and customer-facing AI tools, leveraging large language models and modern machine learning techniques.

While the organisation operates in a regulated environment, they are open to candidates from a range of industry backgrounds, financial services experience is beneficial but not essential.

Key Responsibilities

• Design, build, and deploy Generative AI solutions using large language models (LLMs)
• Develop and optimise prompt engineering strategies for production use cases
• Build end-to-end pipelines (RAG, embeddings, vector search) for scalable GenAI applications
• Work with both structured and unstructured datasets, including text-heavy data
• Collaborate closely with data engineering and software teams to productionise solutions
• Identify high-impact use cases and contribute to the broader AI roadmap
• Ensure solutions align with governance, risk, and compliance standards
• Communicate insights and outputs clearly to both technical and non-technical stakeholders

Required Skills & Experience

• 3+ years' experience in Data Science / Machine Learning roles
• Strong Python and SQL skills with hands-on experience building models and data pipelines
• Proven experience working with Generative AI (LLMs, prompt engineering, embeddings)
• Experience using frameworks such as LangChain, LlamaIndex, or similar
• Experience integrating with model APIs (e.g. OpenAI or open-source alternatives)
• Exposure to cloud environments (AWS, GCP or Azure)
• Strong problem-solving skills and a pragmatic, delivery-focused mindset
• Ability to work in cross-functional teams within a fast-paced environment

Nice to Have

• Experience within financial services or other regulated industries
• Exposure to vector databases (e.g. Pinecone, Weaviate, FAISS)
• Experience with MLOps / LLMOps and deploying models into production
• Familiarity with LLM fine-tuning, evaluation, or guardrailing techniques
• Experience building internal tools such as copilots or knowledge assistants

What's on Offer

• Salary up to £75,000 depending on experience
• Generous benefits package
• Hybrid working (London-based)
• Opportunity to join a well-established business investing heavily in AI
• High-impact role with real ownership and visibility
• Collaborative and forward-thinking data team

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