Do you want to work on real-world optimisation problems at national scale?
Have you built mathematical models that directly drive commercial decisions?
Are you ready to own and improve optimisation systems used across a complex supply chain?
A leading UK retailer, with one of the country's largest logistics networks, is strengthening its Data Science function and is hiring an Data Scientist to work on critical supply chain and stock allocation problems. This is a permanent role with immediate impact, sitting within a senior DS team that partners closely with Product, Engineering, and MLOps.
The role focuses on designing, improving, and scaling optimisation models that determine how stock is allocated across stores to best meet demand and maximise profit, while respecting real-world constraints such as warehouse capacity, product size, and total inventory levels.
You will work on a production optimisation platform used at scale, collaborating with engineers while owning the modelling and decision logic behind the system.
Key responsibilities
• Architect and improve large-scale optimisation models for supply chain use cases
• Enhance existing stock allocation models used across the retail estate
• Work on optimisation problems including inventory, logistics routing, and scheduling
• Collaborate closely with Product, Engineering, MLE and MLOps teams
• Identify new optimisation opportunities and lead solutions end to end
• Clearly explain modelling choices, assumptions, and trade-offs to stakeholders
Key details
• Salary: £60k–£100k base
• Working model: Hybrid, officially 2 days/week, typically 1 day/month in office (London)
• Tech stack: Python, Azure, AIMMS, IBM CPLEX (training provided)
Interested? Please apply below.