Job description
Rate: £500-600/day Outside IR35 Duration: Initial 6-Month Contract (Extension Likely) Location: London (Hybrid) Office Attendance: 2 days per week in the London office. The Opportunity We're supporting a major UK retailer on a large-scale supply chain optimisation programme and are looking for a Senior Data Scientist with a strong background in Operational R
Project details
£500-600/day Outside IR35
Initial 6-Month Contract (Extension Likely)
London (Hybrid)
Office Attendance: 2 days per week in the London office.
The Opportunity
We're supporting a major UK retailer on a large-scale supply chain optimisation programme and are looking for a Senior Data Scientist with a strong background in Operational Research and optimisation.
This is not a Generative AI, NLP, or customer analytics role. Instead, you'll be working on highly complex optimisation challenges that drive real-world operational decisions across a large supply chain network.
The programme has been running for several years and is viewed as a long-term strategic initiative, with further investment already secured.
The Role
You'll be responsible for designing, developing and enhancing optimisation models that support large-scale supply chain decision-making.
Key Responsibilities
Required Experience
We're particularly interested in candidates who can demonstrate:
Ideal Background
Suitable candidates may come from:
A PhD is not essential, but candidates will typically possess strong mathematical and analytical depth. Those with PhD research linked to real-world optimisation problems are highly encouraged to apply.
What They're Looking For
Beyond technical expertise, the team values individuals who are:
Interview Process
- Architecting and designing optimisation models for complex logistics and supply chain challenges
- Improving and scaling existing optimisation solutions
- Working closely with stakeholders to translate business problems into mathematical models
- Delivering solutions capable of handling billions of potential decision combinations
- Supporting the ongoing development of a critical optimisation platform used across the organisation
- Strong experience in optimisation, Operational Research, or mathematical modelling
- Experience solving real-world supply chain, logistics, inventory, transportation, or network optimisation problems
- Hands-on experience with optimisation platforms such as AIMMS, AMPL, Gurobi, CPLEX, FICO Xpress, or similar
- Strong Python skills
- Experience working with large-scale optimisation problems where solution quality and performance are critical
- A strong academic background in Mathematics, Operational Research, Statistics, Engineering, Computer Science, or a related discipline
- Retail
- Logistics
- Transportation
- Manufacturing
- Supply Chain Technology
- Warehousing & Distribution
- Airline Operations
- E-commerce Fulfilment
- Naturally curious
- Proactive problem solvers
- Comfortable challenging assumptions
- Strong communicators who ask the right questions
- Passionate about solving complex operational problems
- 1-2 stage interview process
- Quick turnaround on feedback
- Immediate requirement
- Start: flexible
- Duration: 6-Month Contract
- Remote: hybrid
- Location: London
- Rate: 63-75 EUR/h
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