Data Scientist

Data Scientist

6 months’ initial contract

£500- £600 pd outside IR35

3 days Central London

Job Overview

Stanton House has partnered with a media business based in Central London, that is looking to hire an Interim Data Scientist / AI Engineer.

Our client is building out a new data science and AI function focused on developing AI agent capabilities and embedding AI into business processes. This role will play a key part in shaping and delivering production-grade AI systems. This is a hands-on contract role suited to someone who can operate independently, take ownership, and deliver high-impact AI solutions in a fast-evolving environment.

Responsibilities

• Design and build LLM-powered AI agents and multi-agent systems for real-world business applications
• Develop agentic workflows, incorporating RAG, reasoning, planning, and tool orchestration
• Build and deploy production-grade GenAI systems, not just prototypes
• Integrate AI solutions into existing business systems, APIs, and workflows
• Contribute to or establish MLOps frameworks (e.g. Databricks or similar environments)
• Work closely with stakeholders to translate business problems into technical AI solutions
• Own delivery end-to-end, operating with minimal supervision
• Communicate complex technical concepts clearly to non-technical stakeholders

Skills Needed

• Strong experience delivering machine learning and AI systems
• Strong expertise in LLMs, Generative AI, and RAG systems
• Proven experience building AI agents / agentic systems
• Hands-on experience with LangGraph and/or similar frameworks
• Strong Python engineering skills with experience building scalable systems
• Experience with MLOps and ML platforming (e.g. Databricks or equivalent)
• Experience designing and deploying systems on cloud platforms (AWS preferred)
• Strong understanding of system design, orchestration, and production constraints
• Ability to work independently, take ownership, and proactively drive work forward
• Strong communication skills, with the ability to engage stakeholders and translate technical detail into business context