Senior Aviation Optimisation Scientist - Hybrid | Travel Benefits in Luton

Senior Aviation Optimisation Scientist - Hybrid | Travel Benefits in Luton

Luton Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deploy optimisation models for crew planning and aircraft scheduling.
  • Company: Join easyJet, a leading airline with a focus on innovation.
  • Benefits: Enjoy travel perks, competitive salary, and hybrid working options.
  • Other info: Collaborative environment with opportunities for mentorship and growth.
  • Why this job: Make a real impact in aviation while advancing your career.
  • Qualifications: Experience in operations research and strong analytical skills.

The predicted salary is between 63000 - 77000 Β£ per year.

easy Jet is recruiting a Senior Operations Research Scientist in our Luton head office.

You will design and deploy mission-critical optimisation models and simulations that steer crew planning, aircraft scheduling and network resilience, delivering tangible business impact.

You will lead multi-disciplinary collaboration, mentor staff, and present sophisticated models to senior stakeholders while advancing data-driven decision-making across the airline.

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Senior Aviation Optimisation Scientist - Hybrid | Travel Benefits in Luton employer: Easyjet

easyJet is an exceptional employer, offering a dynamic work environment where innovation and sustainability are at the forefront of our mission. As a Future Fuels Manager based in Luton, you'll benefit from a strong focus on employee growth, competitive bonuses, and excellent travel perks, all while contributing to our ambitious sustainability goals. Our collaborative culture encourages you to build meaningful relationships with industry leaders, ensuring your role is both impactful and rewarding.

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Contact Details:

Easyjet Recruitment Team

We think you need these skills to ace Senior Aviation Optimisation Scientist - Hybrid | Travel Benefits in Luton

Operations Research
Optimisation Modelling
Simulation Techniques
Crew Planning
Aircraft Scheduling
Network Resilience
Data-Driven Decision-Making