Senior Optimisation / Operations Research Consultant
Posted Today by Xcede
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Senior Optimisation Consultant will play a crucial role in a global enterprise's transformation programme aimed at enhancing complex asset operations and workflows. This position involves designing and implementing optimisation models, addressing operational challenges, and collaborating with cross-functional teams to drive impactful business decisions. The ideal candidate will possess a strong academic background in relevant fields and a proven track record in delivering optimisation solutions in commercial environments.
Key Responsibilities:
- Create optimisation models for asset maintenance and operational planning.
- Address scheduling, routing, and resource allocation challenges.
- Translate business requirements into actionable mathematical models.
- Collaborate with engineering, data science, and operations leadership.
- Influence business outcomes by balancing efficiency and cost-effectiveness.
- Support the rollout of solutions across a global group of companies.
Key Skills:
- Strong background in Operations Research, Optimisation, or Applied Mathematics.
- Proven experience in delivering optimisation solutions in commercial environments.
- Expertise in linear programming, mixed-integer programming, and combinatorial optimisation.
- Experience in multi-variable scheduling, routing, or workflow planning.
- Ability to influence senior stakeholders and own problems end-to-end.
- Practical mindset for navigating ambiguity and implementing solutions.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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.