Job Description

Job Information


Date Opened


12/09/2025
Job Type


Contract
Work Experience


5+ years
Industry


Government & Public Sector
Salary


400 - 500 outside
City


London
Province


Greater London
Country


United Kingdom
Postal Code


EC1A



The role


We're hiring a

Data Scientist with strong Generative-AI experience

to 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

Python

(pandas, PyTorch/Transformers),

SQL

LLM frameworks

: LangChain, LlamaIndex (or similar)

Vector DBs

: FAISS / pgvector / Pinecone (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+ years

in Data Science/ML, including

hands-on delivery of GenAI products

(not just PoCs). Proven ability to

ship independently

: from idea prototype secure, supportable production tool. Strong

Python & 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 of

statistics/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. Azure OpenAI / Vertex AI / Bedrock; lightweight

fine-tuning/LoRA

. Front-end skills to craft usable internal UIs.

How to apply


Send your CV (referencing

DS-GENAI

) to the Recruitment Team. Shortlisted candidates will complete a brief technical exercise or portfolio walk-through focusing on

a GenAI tool you built and shipped

.