Cognify Search

Senior Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist focused on Databricks AI Platform Buildout, offering a 3-month rolling contract, remote work, and outside IR35. Key skills include Python, Databricks, AI/ML solutions, and experience with Medallion Architecture pipelines.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
July 16, 2026
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Outside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United Kingdom
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🧠 - Skills detailed
#Consulting #Delta Lake #Data Governance #Automation #Data Processing #GIT #ML (Machine Learning) #Spark (Apache Spark) #MLflow #PySpark #AI (Artificial Intelligence) #Databricks #Python #Data Science
Role description
Senior Data Scientist – Databricks AI Platform Buildout 3 Months Rolling Remote Outside IR35 We are looking for an experienced Senior Data Scientist to join an enterprise Databricks AI Platform Buildout project. You will work as part of a technical delivery team, helping design, build, and productionise modern AI and GenAI capabilities. Responsibilities β€’ Build and enhance AI platform capabilities using Databricks β€’ Develop Medallion Architecture pipelines (Bronze, Silver, Gold Delta tables) β€’ Build AI agents, vector search solutions, and unstructured data processing pipelines β€’ Support RAG, LLMOps, prompt engineering, and AI solution productionisation β€’ Implement data governance capabilities including Unity Catalog β€’ Develop lightweight applications and automation workflows to support AI solutions β€’ Collaborate using Git, CI/CD, and modern engineering practices Requirements β€’ 4+ years’ Data Science experience β€’ 2+ years’ consulting or client delivery experience β€’ Proven experience delivering AI/ML solutions into production β€’ Strong Python and Databricks experience β€’ Hands-on experience with PySpark, Delta Lake, Unity Catalog, and MLflow β€’ Experience with GenAI technologies including LLMs, RAG, AI agents, and prompt management β€’ Familiarity with Git workflows and CI/CD pipelines Experience with Databricks AI capabilities such as AI Gateway, AI Search, Databricks Apps, and Asset Bundles is highly desirable.