5 of 5 Remote/Hybrid Operations Research Jobs in London

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London We are working with a major international transport and operations organisation building out a central AI and Data Science capability focused on solving complex operational optimisation problems across multiple business units. This … closely with business teams, identify optimisation opportunities and make clear technical recommendations. Key requirements: * Proven experience building optimisation or simulation solutions in production* Strong operations research or mathematical optimisation background* Experience working on logistics or supply chain optimisation problems* Experience translating business problems into optimisation models* Strong ...

consulting—while still delivering meaningful change. What We’re Looking For Technical Expertise Degree or Master’s in Maths, Statistics, Data Science, Operational Research, or similar fields. Strong applied statistics background. Experience working with messy or complex datasets Hands‐on exposure to integer programming, MIP, MILP , and applied ...

/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ ...

/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ ...

Location : Hybrid (London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling … Conditional (must meet at least 2 of the below) Time-series modelling 2+ years Geospatial data experience (H3, GeoPandas, PostGIS or similar) Optimisation/operations research exposure Logistics/mobility/marketplace domain experience Nice to Have Reinforcement learning Simulation modelling Experience deploying models into cloud environments ...