Staff Data Scientist (Supply Chain Forecasting) – Contract – Outside IR35 – Remote (UK)
Posted 1 day ago by Oliver Bernard
Negotiable
Outside
Remote
United Kingdom
Summary: The Staff Data Scientist role focuses on designing and building advanced demand forecasting systems for a global supply chain, leveraging data and AI to enhance product movement efficiency. The position requires collaboration with engineering, logistics, and commercial teams to embed forecasting into operational workflows. Candidates should possess a strong background in demand forecasting and experience in building production ML systems. This is a remote contract position based in the UK, classified as outside IR35.
Key Responsibilities:
- Design and deliver scalable forecasting models for global supply chains
- Apply advanced approaches including time series foundation models and hierarchical forecasting
- Solve cold start problems for new and seasonal products
- Build end-to-end pipelines and production-ready ML systems
- Partner with business teams to embed forecasts into operational workflows
Key Skills:
- Strong background in demand forecasting within supply chain or retail
- Proven experience building production ML systems end-to-end
- Advanced Python and SQL
- Experience with modern forecasting techniques beyond classical models
- Comfortable working in fast-paced, cross-functional environments
- Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Mathematics, Statistics)
- Staying at the forefront of AI research
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Staff Data Scientist (Supply Chain Forecasting) – Contract – Outside IR35 – Remote (UK) OB are currently partnered with a business operating a large-scale, global supply chain, investing in data and AI to improve how products move across regions. They’re focused on building forecasting systems that directly impact availability, efficiency, and cost. Data science sits at the core of decision making, with strong alignment across engineering, logistics, and commercial teams.
Role Lead the design and build of advanced demand forecasting systems, from modelling through to deployment.
Responsibilities
- Design and deliver scalable forecasting models for global supply chains
- Apply advanced approaches including time series foundation models and hierarchical forecasting
- Solve cold start problems for new and seasonal products
- Build end-to-end pipelines and production-ready ML systems
- Partner with business teams to embed forecasts into operational workflows
Requirements
- Strong background in demand forecasting within supply chain or retail
- Proven experience building production ML systems end-to-end
- Advanced Python and SQL
- Experience with modern forecasting techniques beyond classical models
- Comfortable working in fast-paced, cross-functional environments
- You hold a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Mathematics, Statistics) and stay at the forefront of AI research.
Tech stack Python, SQL, GCP, Vertex AI, Time Series models, LLM/agent workflows
Requirements / constraints UK-based, remote with flexibility Outside IR35 Interested to hear more? Apply below. Data Scientist | Remote | Contract | Outside IR35