Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with expertise in Python and Azure, focusing on AI applications for Tax and Legal projects. Contract length is unspecified, pay is "unknown," and requires strong skills in generative AI techniques and software engineering practices.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 23, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Inside IR35
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London
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🧠 - Skills detailed
#Python #Version Control #Azure #Deployment #Microsoft Azure #Visualization #AI (Artificial Intelligence) #Data Science #Libraries #Scala #Alteryx #Langchain #Pandas #Programming #"ETL (Extract #Transform #Load)" #R #NumPy
Role description
AI Data scientist - Python & Azure We are seeking a Data Scientist to join our Data & AI team, supporting internal service delivery transformation projects across Tax and Legal. This role is ideal for someone with deep expertise in Python and Azure, and a passion for building innovative generative AI solutions to solve complex business challenges. IR 35 Status - Inside Key Responsibilities β€’ Design, build, and deploy Python-based AI applications. β€’ Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems. β€’ Develop LLM-assisted frameworks and contribute to scalable AI architectures. β€’ Write clean, maintainable, and well-documented code. β€’ Implement testing pipelines and evaluation frameworks. β€’ Collaborate with data scientists, software engineers, and domain experts to deliver high-impact solutions. Essential Skills β€’ Expert-level Python programming with libraries such as NumPy, Pandas, Scikit-learn, LangChain, LlamaIndex, and Azure AI Foundry. β€’ Strong experience with Azure and generative AI R&D. β€’ Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). β€’ Ability to write production-ready code and apply robust quality control. β€’ Familiarity with software engineering best practices including version control, testing, and deployment. Desirable Skills β€’ Experience building optimized AI workflows. β€’ Deep understanding of Microsoft Azure AI services. β€’ Strong data analytics and visualization skills (Excel, Alteryx). β€’ Awareness of Responsible AI principles. This is a collaborative role within a cross-functional team, offering the opportunity to work on impactful projects at the forefront of AI innovation.