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A global enterprise is launching a large-scale transformation programme focused on optimising complex asset operations and large-scale workflows. We are seeking senior-level optimisation specialists to work end-to-end on intricate operational challenges, shaping high-impact technical and mathematical solutions.
Job Responsibility:
Design and Implement Solutions: Create optimisation models for high-value asset maintenance and large-scale operational planning
Model Complex Problems: Address scheduling, routing, and resource allocation challenges under rigorous real-world constraints
Strategic Translation: Turn ambiguous business requirements into structured, actionable mathematical models
Stakeholder Collaboration: Work closely with cross-functional teams including engineering, data science, and senior operations leadership
Drive Decisions: Balance efficiency, cost-effectiveness, and operational feasibility to influence key business outcomes
Scale Impact: Support the initial rollout of solutions with the potential to extend frameworks across a wider global group of companies
Requirements:
Strong background in Operations Research, Optimisation, Applied Mathematics, or a related field
Proven experience delivering optimisation solutions in high-stakes commercial environments (e.g., global logistics, supply chain, or complex marketplaces)
Deep expertise in techniques such as linear programming, mixed-integer programming, and combinatorial optimisation
Direct experience solving problems related to multi-variable scheduling, routing, or workflow planning
Ability to own problems end-to-end and influence stakeholders at a senior level
Comfortable navigating ambiguity and driving toward practical, implementable solutions rather than just theoretical models
Nice to have:
Experience in heavy-industry maintenance planning or large-scale logistical/vehicle/fleet/warehouse operations
Background in real-time decision systems or large-scale logistics networks