Data Scientist

Data Scientist

Location: London (Hybrid)

Salary: £70,000 - £85,000 + benefits

The Role

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-on 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.

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 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 with 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 £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

UK-based candidates only.