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Data Scientist- Gen AI

Scrumconnect Limited
London
2 weeks ago
Applications closed

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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.

Tech you’ll likely use

  • 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

Must-have experience

  • 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.

Nice to have

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

How to apply

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.


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