Coltech

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist contract (long-term, inside IR35) based in London (hybrid, 2 days onsite), requiring 10+ years in Data Science, strong Python skills, and experience with machine learning, NLP, and Generative AI solutions.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 18, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Inside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#BigQuery #AI (Artificial Intelligence) #Azure #NLP (Natural Language Processing) #GCP (Google Cloud Platform) #ML (Machine Learning) #Cloud #Python #AWS (Amazon Web Services) #Data Science #Leadership #Scala
Role description
Data Scientist (Machine Learning & Generative AI) – Contract πŸ“ London (Hybrid – 2 days onsite) πŸ’Ό Long-term Contract (Inside IR35) The Opportunity We’re hiring multiple Data Scientists to join a major, enterprise-scale programme focused on machine learning and Generative AI innovation. This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions, including LLM-powered applications, NLP pipelines, and emerging agentic systems. You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful AI use cases at scale. Key Responsibilities β€’ Build, deploy, and optimise machine learning and NLP models in production β€’ Develop end-to-end data science pipelines β€’ Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering) β€’ Work with BigQuery ML and cloud platforms for large-scale modelling β€’ Translate business challenges into scalable data solutions β€’ Collaborate with cross-functional teams across engineering and business β€’ Mentor junior team members where required Required Experience β€’ 10+ years in Data Science, Machine Learning, or AI Engineering β€’ Strong Python skills and experience with ML frameworks β€’ Proven track record delivering end-to-end ML/NLP solutions β€’ Hands-on experience with Generative AI (LLMs, embeddings, prompting) β€’ Experience with cloud platforms (GCP, AWS, or Azure) β€’ Exposure to BigQuery ML or similar platforms Preferred Experience β€’ Background in financial services or regulated environments β€’ Experience with fraud, risk, or customer analytics β€’ Exposure to LLM applications or agentic AI systems β€’ Mentoring or leadership experience