Mathematical Optimization Data Scientist

Mathematical Optimization Data Scientist

Posted Date Feb 12, 2026 Employment Type Full-time Experience Level Mid-Senior level Location United Kingdom Category ** Data Science ** Company **impellam group **

Hiring: Data Scientist – Mathematical Optimisation (Production-Grade OR) United Kingdom (Hybrid – Heathrow Airport, 1x per month onsite) Full-Time

🌍We welcome applications from candidates worldwide. Full visa sponsorship and relocation support will be provided for the successful candidate.

We are hiring a Data Scientist with deep expertise in Mathematical Optimisation / Operations Research to design and deploy large-scale decision systems within a complex, high-impact operational environment. This role is ideal for someone who enjoys translating real-world ambiguity into structured mathematical models and taking optimisation solutions from formulation through to production deployment.

🔎 What You’ll Be Working On You will design and implement optimisation engines that directly power operational and commercial decision-making at scale across domains such as:

• Large-scale scheduling and resource allocation
• Network and fleet optimisation Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
• Disruption management
• Cost minimisation and efficiency modelling
• Multi-constraint planning systems

Your work will move beyond academic modelling — these systems will be deployed into live production environments and embedded into critical workflows.

🧠 Core Responsibilities

• Formulate and solve complex optimisation problems (LP, MILP, network flow, scheduling, heuristics)
• Build solver-based models using tools such as Gurobi, CPLEX, OR-Tools, Pyomo
• Translate business problems into structured mathematical formulations
• Develop scalable, production-ready optimisation systems in Python
• Collaborate with Data Engineers to productionise solutions via CI/CD and cloud pipelines
• Ensure models are robust, explainable, and operationally reliable

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✅ What We’re Looking For

• Strong background in Operations Research / Mathematical Optimisation
• Hands-on experience with LP/MILP modelling in production environments
• Experience with commercial or open-source solvers (Gurobi, CPLEX, OR-Tools, etc.)
• Strong Python development skills
• Experience deploying optimisation systems into live operational environments
• Ability to communicate complex modelling concepts to non-technical stakeholders

Nice to Have:

• Experience in aviation, transportation, logistics, or large-scale operational systems
• Knowledge of decomposition techniques (Benders, Column Generation)
• Exposure to cloud platforms (Azure, AWS, GCP)