Data Scientist

🔒 Confidential Employer
Posted 23 April 2026
LOCATION
London
TYPE
Contract
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

GenAI LLMs Python LangChain AI Agents Prompt Engineering React JS TypeScript

FULL DESCRIPTION

Job details

: Posted 02 April 2026 : LocationLondon : Job type [Contract](/jobs/contract-1) : Discipline [Technology](/jobs/technology) , [Commodities and Financial Services](/jobs/commodities-and-financial-services)

Job description

We are looking for a Data Scientist in London, UK on a contract basis.

​

​Your Responsibilities:

  • Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights.
  • Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact.
  • Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decision‑making.
  • Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‑defined modelling tasks.
  • Build end‑to‑end ML pipelines—from feature engineering and preprocessing to deployment‑ready model outputs.

Essential skills/knowledge/experience:

  • Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc.
  • Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB )
  • Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval
  • Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP
  • Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable )
  • Solid understanding of LLMs, prompt engineering, and graph-based workflows.
  • Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc.
  • Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies

If this position is of interest to you, apply now!

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