Data Scientist - Optimisation and Operations Research North West London (Hybrid, 3 days on-site) 550 - 750 /day The OpportunityWe''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 productionBuilding robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CDOwning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurementWorking 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 mustFluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packagesProducti