£850 Per day
Outside
Remote
United Kingdom
Summary: The Staff Data Scientist for Supply Chain Forecasting will focus on enhancing demand forecasting models and production systems within a global consumer business. This role involves leveraging complex supply chain data to improve accuracy and decision-making across various regions and product lines. The position is remote-first and classified as outside IR35, offering a competitive daily rate. The ideal candidate will have a strong background in forecasting and machine learning deployment.
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 skills
- 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