Senior Optimisation Consultant (

Overview
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.
What youll be doing

• 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.

What were looking for

• Academic Foundation:Strong background in Operations Research, Optimisation, Applied Mathematics, or a related field.
• Commercial Track Record:Proven experience delivering optimisation solutions in high-stakes commercial environments (e.g., global logistics, supply chain, or complex marketplaces).
• Technical Depth:Deep expertise in techniques such aslinear programming,mixed-integer programming, andcombinatorial optimisation.
• Domain Expertise:Direct experience solving problems related to multi-variable scheduling, routing, or workflow planning.
• Senior Leadership:Ability to own problems end-to-end and influence stakeholders at a senior level.
• Practical Mindset: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 logistcal/vehicle/fleet/warehouse operations.
• Background in real-time decision systems or large-scale logistics networks.

Interview process

• Initial stakeholder interview.
• Technical assessment.

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