Vallum Associates
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract basis, focusing on GenAI applications and machine learning. Key skills include Python, TypeScript, and experience with LLMs. Must have expertise in AI agents, security best practices, and data engineering.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Langchain #Python #Security #Data Science #Programming #HBase #AI (Artificial Intelligence) #React #TypeScript #Databases #Datasets #Deployment #A/B Testing #ML (Machine Learning) #"ETL (Extract #Transform #Load)"
Role description
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
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
