Data Scientist – Supply Chain Optimisation

Data Scientist – Optimisation & Operations Research

North West London (Hybrid, 3 days on-site) | 550 – 750 /day

The Opportunity

We’re recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software – embedding cutting-edge optimisation and machine learning directly into live operations.

You’ll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research.

What You’ll Be Doing

• Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production
• Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD
• Owning features end-to-end – from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement
• Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS)
• Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation

What We’re Looking For

• Strong operational research and optimisation background – this is a must
• Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages
• Production ML/optimisation software experience – you’ve shipped models that run at scale
• Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus
• Strong SQL and data engineering fundamentals
• Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable
• Master’s degree (or equivalent) in Data Science, ML, or Operational Research – or strong demonstrable industry experience

…