Senior OR Scientist: Aviation Ops & Optimization

easyJet Airline Company PLC; United Kingdom; Remote; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Up to 20% bonus

Staff travel benefits

7% pension contributions

Excellent staff travel benefits

25 days annual leave + bank holidays

Annual holiday credit

Job summary

easyJet is seeking a Senior Operations Research Scientist to design and deploy advanced optimisation models, simulations and decision-support tools for crew planning, scheduling and network resilience at our Luton base.

You will lead multi-disciplinary teams, translate business challenges into mathematical models and deliver measurable improvements in efficiency and service levels while mentoring colleagues and representing easyJet in industry forums.

Qualifications

• Expert knowledge of operations research, mathematical programming, simulation methodologies, stochastic processes and decision theory.
• Advanced programming skills in Python and C++, or similar high-performance languages.
• Strong experience using optimisation software such as Gurobi, CPLEX or Xpress.
• A proven track record of delivering operations research and optimisation solutions within operational environments.
• Experience solving large-scale routing, scheduling or resource allocation problems within aviation, transport, logistics, supply chain or other complex network-based environments.

Responsibilities

• Leading the architecture and delivery of advanced operations research solutions across crew planning, aircraft scheduling, network resilience and ground operations.
• Designing and implementing high-performance optimisation algorithms and production-grade solutions using Python, C++ and commercial optimisation solvers.
• Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi-stage decision problems.
• Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial outcomes.
• Leading delivery across the full data science and optimisation lifecycle, from opportunity identification through to deployment and continuous improvement.
• Collaborating with data and technology teams to ensure data quality and availability for optimisation solutions.
• Mentoring colleagues in operations research techniques, conducting technical reviews and helping establish best practice across the organisation.
• Representing easyJet through industry events, academic partnerships and engagement with the wider optimisation community.

Skills

Operations research

Mathematical programming

Simulation methodologies

Stochastic processes

Decision theory

Python

C++

Gurobi

CPLEX

Xpress

Communication & influence

Leadership

Education

Degree in Operations Research

Mathematics

Computer Science

Engineering

Tools

Gurobi

CPLEX

Xpress

Job description

easyJet is seeking a Senior Operations Research Scientist to design and deploy advanced optimisation models, simulations and decision-support tools for crew planning, scheduling and network resilience at our Luton base.

You will lead multi-disciplinary teams, translate business challenges into mathematical models and deliver measurable improvements in efficiency and service levels while mentoring colleagues and representing easyJet in industry forums.