Senior Optimisation / Operations Research Consultant

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 you'll 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 we're 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 as linear programming, mixed-integer programming, and combinatorial 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.