Senior Optimisation / Operations Research Consultant
Senior Optimisation Consultant ( You could be just the right applicant for this job Read all associated information and make sure to apply. 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. xehkeey
Technical assessment.
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. xehkeey
Technical assessment.