London, United Kingdom | Posted on 12/09/2025

We’re hiring aData Scientist with strong Generative-AI experienceto design, build, and ship AI-powered tools end-to-end. You’ll work in a small, multi-disciplinary team and take ownership from discovery to deployment: scoping use-cases, building prototypes, hardening them for production, and putting the right evaluation and governance around them.

What you’ll do

• Build GenAI tools end-to-end(independently): chat/assistants, document Q&A (RAG), summarisation, classification, extraction, and workflow/agent automations.
  
• Own evaluation & safety: create offline/online eval sets, measure faithfulness/hallucination, bias, safety, latency and cost; add guardrails and red-teaming.
  
• Productionise: package as services/APIs or lightweight apps (e.g., Streamlit/Gradio/React), containerise, and integrate via CI/CD.
  
• Data pipelines: design chunking/embedding strategies, pick vector stores, manage prompt/versioning, and monitor drift & quality.
  
• Model strategy: select and mix providers (hosted and open-source), fine-tune where it’s sensible, and optimise for cost/perf/privacy.
  
• Stakeholder enablement: translate problems into measurable KPIs, run discovery, document clearly, and hand over maintainable solutions.
  
• Good practice: apply data ethics, security and privacy by design; align to service standards and accessibility where relevant.
  

• LLM frameworks: LangChain, LlamaIndex (or similar)
  
• Cloud & Dev: Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI
  
• Data & MLOps: BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have)
  
• Front ends (for internal tools): Streamlit / Gradio / basic React
  

• 7+ yearsin Data Science/ML, includinghands-on delivery of GenAI products(not just PoCs).
  
• Proven ability toship independently: from idea → prototype → secure, supportable production tool.
  
• StrongPython & SQL; solid software engineering habits (testing, versioning, CI/CD).
  
• Practical LLM skills: prompt design,RAG, tool/function calling,evaluation & guardrails, and prompt/model observability.
  
• Sound grasp ofstatistics/experimentation(A/B tests, hypothesis testing) and communicating impact to non-technical audiences.
  
• Data governance, privacy and secure handling of sensitive data.
  

• Experience in regulated or public-sector-like environments.
  
• Front-end skills to craft usable internal UIs.
  

Send your CV (referencingDS-GENAI) to the Recruitment Team. Shortlisted candidates will complete a brief technical exercise or portfolio walk-through focusing ona GenAI tool you built and shipped.