Staff Data Scientist - Supply Chain Forecasting
Posted 1 day ago by Oliver Bernard
£850 Per day
Outside
Remote
United Kingdom
Summary: The Staff Data Scientist for Supply Chain Forecasting will focus on enhancing demand forecasting models within a global consumer business that operates a complex international supply chain. This role involves designing production ML pipelines and tackling forecasting challenges while collaborating with business teams to ensure actionable insights. The position is remote-first and classified as outside IR35, offering a competitive daily rate.
Key Responsibilities:
- Build and improve demand forecasting models across complex supply chain data
- Design production ML pipelines and forecasting systems end to end
- Tackle cold start and new product forecasting problems
- Apply modern approaches including hierarchical forecasting and foundation models
- Work closely with business teams to ensure forecasts drive real decisions
Key Skills:
- Strong forecasting experience in supply chain, retail, or similar
- Proven track record deploying ML systems into production
- Strong Python and SQL
- Experience with hierarchical forecasting and time series methods
- Solid understanding of MLOps and model deployment
Salary (Rate): £850/day
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Staff Data Scientist, Supply Chain Forecasting
Up to £850/day | Remote-first | Outside IR35
Global consumer business operating at scale, with a complex international supply chain and a strong focus on using data to drive planning and inventory decisions. They already have forecasting capability in place, but are now investing in more advanced models and production systems to improve accuracy, responsiveness, and decision-making across regions and product lines.
What you’ll be doing
- Build and improve demand forecasting models across complex supply chain data
- Design production ML pipelines and forecasting systems end to end
- Tackle cold start and new product forecasting problems
- Apply modern approaches including hierarchical forecasting and foundation models
- Work closely with business teams to ensure forecasts drive real decisions
What they’re looking for
- Strong forecasting experience in supply chain, retail, or similar
- Proven track record deploying ML systems into production
- Strong Python and SQL
- Experience with hierarchical forecasting and time series methods
- Solid understanding of MLOps and model deployment
Requirements
- Remote flexible
- Outside IR35
- Up to £850/day outside IR35