Data Scientist
Posted 1 day ago by Stanton House
£600 Per day
Outside
Undetermined
London Area, United Kingdom
Summary: The role of Data Scientist involves a 6-month contract focused on developing AI agent capabilities for a media business in Central London. The position requires hands-on expertise in building production-grade AI systems and integrating them into existing business processes. The ideal candidate will operate independently and deliver impactful AI solutions in a fast-paced environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders.
Key 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
Key Skills:
- 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
Salary (Rate): £600 daily
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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