Queen Square Recruitment

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in London (Hybrid-2 days) for a 6-month contract, paying "pay rate." Requires 5-12 years of experience, strong GenAI skills, Python proficiency, and knowledge of APIs, microservices, and LLMs.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Automation #Langchain #Python #Scala #Istio #Data Science #Programming #HBase #AI (Artificial Intelligence) #TypeScript #Databases #Microservices #"ETL (Extract #Transform #Load)" #Datasets #ML (Machine Learning) #API (Application Programming Interface)
Role description
New Contract Opportunity for Data Scientist Role Location: London, Hybrid- 2 days Contract Duration: 6 Months IR35 Status: Inside IR35 The Role We are seeking a skilled Data Scientist to drive insights and intelligent solutions across data-intensive environments. In this role, you will design and develop advanced machine learning and GenAI-powered models that enable predictive analytics, automation, and data-driven decision-making. Working with modern data platforms, high-quality datasets, and cutting-edge AI frameworks, you will collaborate closely with engineering, product, and analytics teams to build scalable, explainable, and production-ready solutions that support digital transformation initiatives. Your Profile Essential Skills & Experience • 5–12 years of experience in Data Science, Machine Learning, or AI-related roles • Strong hands-on experience with GenAI, including Gemini or open-source LLMs • Experience building GenAI applications such as code translation, summarisation, text extraction, and SDLC optimisation • Hands-on experience with AI Agents, chatbots, RAG (Retrieval-Augmented Generation), and vector databases (e.g., PGVector, ChromaDB) • Experience with GenAI evaluation tools such as RAGAS, DeepEval, or Pegasus • Strong programming skills in Python (LangChain, LangGraph, LangSmith) and preferably TypeScript • Solid understanding of LLMs, prompt engineering, and graph-based workflows • Experience implementing guardrails (hallucination control, PII filtering, bias mitigation) • Knowledge of API development, microservices architecture, and distributed systems • Experience with API Gateways, ISTIO, and diagnosing end-to-end system communication issues