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Senior Optimisation / Operations Research Consultant

Location:
London, Greater London, South East, England
Salary:
Competitive
Job Type:
Contract
Date Posted:
3 minutes ago
Expiry Date:
04/06/2026
Job Ref:
BH-126299
Start Date:
20/04/2026
Contact:
Sergio Osman
Contact Email:
sergio.osman@xcede.com
Specialism:
AI ResearchData ScienceEngland
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.

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Sergio Osman

Sergio Osman

Specialisms: Data, Data Science, Digital & Product Analytics, Marketing & Insight Analytics, Data Engineering, Business Intelligence, Credit Risk & Analytics
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