Data Scientist

A leading FTSE 100 organisation is building out multiple AI teams focused on both AI product development and enterprise-wide AI transformation initiatives.

This is a production-first environment focused on deploying AI systems that are actively used, trusted, and continuously improved – not experimental proof-of-concepts.

Candidates should have proven experience building and deploying real-world LLM and agentic systems into production environments at scale.

Key Responsibilities

• Designing and building AI agents and agentic workflows powered by LLMs
• Developing multi-step intelligent systems incorporating reasoning, planning, memory, and tool orchestration
• Building and improving RAG pipelines and retrieval systems
• Working with MCP-style architectures / FastMCP / FastAPI
• Automating complex workflows and decision-making processes using AI
• Deploying scalable AI systems into production cloud environments

Required Experience

• Strong Python engineering skills with production-grade coding standards
• Proven experience shipping LLM-powered applications into production
• Hands-on experience with LangChain / LangGraph or similar frameworks
• Experience building AI agents with orchestration and tool usage
• Strong understanding of RAG architectures and LLM trade-offs
• Experience deploying systems across AWS, Azure, or GCP
• Strong product mindset with a bias toward delivery and impact
• SaaS or B2B AI product environments
• Evidence of AI systems actively delivering measurable business value

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