Data Scientist

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

They are looking for a hands-onData 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.

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.

• 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 product ionise solutions
• Identify high-impact use cases and contribute to the broader AI roadmap
• Ensure solutions align with governance, risk, and compliance standards
• Communicate insights clearly to both technical and non-technical stakeholders

• 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 Lang Chain, Llama Index, 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 with a pragmatic, delivery-focused mindset
• Ability to work in cross-functional teams within a fast-paced environment

• Experience with in 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 guard railing techniques
• Experience building internal tools such as copilots or knowledge assistants

• Salary up to £85,000 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