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Data Scientist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Experis
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 GBP Yearly GBP 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

A leading global Data & AI consultancy is looking for a Data Scientist with Generative AI experience to join its growing AI practice. This is an exciting opportunity to work on cutting-edge GenAI initiatives, helping enterprise clients unlock value through Large Language Models (LLMs), automation, and intelligent decision-making.

About the Role

You’ll be responsible for designing, building, and deploying Generative AI solutions across a range of industries, collaborating with multidisciplinary teams to deliver production-ready AI applications.

Responsibilities
  • Developing LLM-powered applications for business use cases such as document automation, knowledge retrieval, summarisation, and customer support.
  • Designing and implementing Retrieval-Augmented Generation (RAG) solutions.
  • Fine-tuning and adapting foundation models using domain-specific datasets.
  • Building embedding pipelines and working with vector databases including FAISS, Pinecone, or ChromaDB.
  • Creating prompt engineering frameworks and prompt chains using Lang Chain, Llama Index, Prompt Flow, or similar tools.
  • Collaborating with Data Engineering, MLOps, and Product teams to deploy scalable AI solutions.
  • Evaluating model performance and optimising cost, accuracy, latency, and reliability.
  • Staying current with advancements in GenAI, transformers, and LLM architectures.
Qualifications
  • 5+ years' experience in Data Science, Machine Learning, or AI.
  • Commercial experience delivering Generative AI or LLM-based solutions.
Required Skills
  • Experience with technologies such as:
  • RAG, Vector Search, Embeddings
  • Experience deploying AI applications using FastAPI, Flask, Streamlit, or similar frameworks.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Excellent communication and stakeholder management skills.
Preferred Skills
  • Prompt tuning, LoRA fine-tuning, or few-shot learning experience.
  • Understanding of AI governance, privacy, and security considerations.
  • Experience with in regulated sectors such as Financial Services, Insurance, or Healthcare.
  • Exposure to Palantir Foundry.
Pay range and compensation package
  • Up to £90,000 base salary
  • 10% annual bonus
  • Life assurance
  • Employee share purchase programme
  • Ongoing learning and development opportunities
  • Flexible hybrid working
Equal Opportunity Statement

Applicants must have the right to work in the UK and be able to start within a maximum 1-month notice period. To learn more, please get in touch for a confidential discussion.

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