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