Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a long-term contract, fully remote (UK only), paying up to £550 p/d. Key skills required include experience in enterprise data environments, GenAI, AWS data ecosystem, and structuring data for advanced RAG solutions.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
550
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Lake #CRM (Customer Relationship Management) #ML (Machine Learning) #AWS (Amazon Web Services) #SageMaker #AI (Artificial Intelligence) #Data Science #OpenSearch #Datasets
Role description
Senior / Lead Data Scientist (Contract)
Fully Remote (UK only)
Long term contract
2-stage interview
Up to £550 p/d (outside IR35)
We are looking for a Senior / Lead Data Scientist to support a data and architecture assessment project. The focus is on evaluating whether enterprise-scale customer data is fit for AI and GenAI use cases.
You will explore and profile datasets, assess their quality and suitability, and evaluate organisational maturity in managing data for AI adoption. Your work will directly inform strategic decisions on product and architecture.
Experience and skills
• Proven experience as a Data Scientist in large, complex enterprise environments
• Strong understanding of GenAI and ML data requirements and maturity models
• Experience designing and structuring data for RAG / advanced RAG solutions
• Familiarity with grounding techniques for reliable LLM outputs
• Hands-on experience with customer, behavioural, and product datasets (e.g. CDPs, data lakes, CRM, catalogues)
• Experience with the AWS data ecosystem (e.g. SageMaker, OpenSearch)
Senior / Lead Data Scientist (Contract)
Fully Remote (UK only)
Long term contract
2-stage interview
Up to £550 p/d (outside IR35)
We are looking for a Senior / Lead Data Scientist to support a data and architecture assessment project. The focus is on evaluating whether enterprise-scale customer data is fit for AI and GenAI use cases.
You will explore and profile datasets, assess their quality and suitability, and evaluate organisational maturity in managing data for AI adoption. Your work will directly inform strategic decisions on product and architecture.
Experience and skills
• Proven experience as a Data Scientist in large, complex enterprise environments
• Strong understanding of GenAI and ML data requirements and maturity models
• Experience designing and structuring data for RAG / advanced RAG solutions
• Familiarity with grounding techniques for reliable LLM outputs
• Hands-on experience with customer, behavioural, and product datasets (e.g. CDPs, data lakes, CRM, catalogues)
• Experience with the AWS data ecosystem (e.g. SageMaker, OpenSearch)
