At a Glance
- Tasks: Lead a team to create innovative optimisation solutions for complex airline challenges.
- Company: Join easyJet, a leading low-cost airline connecting millions across Europe.
- Benefits: Competitive salary, travel perks, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong focus on collaboration and innovation.
- Why this job: Make a real impact in the travel industry with cutting-edge technology.
- Qualifications: Experience in software engineering and leadership, with a focus on optimisation.
The predicted salary is between 63000 - 77000 £ per year.
Job Description - Principal Data Scientist - Optimisation Engineering (17233)Job Description Principal Data Scientist - Optimisation Engineering ( 17233 )Description Principal Data Scientist - Optimization Engineering We are easy Jet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year.
If you’re reading this, you have probably already been an easy Jet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe.
We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues.
We’re on a mission to make low-cost travel easy – and whatever your role here, you’ll connect millions of people to what they love using Europe’s best airline network, great value fares, and friendly service.
What makes us easy Jet?
Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging.
Four Behaviours.
One Spirit.
One easy Jet.
Role summary Lead an optimisation engineering team building decision-support products that solve complex disruption-management and crew/roster optimisation challenges.
You’ll translate operational problems into scalable software and optimisation solutions, partnering closely with product, data/operations research (OR), and customer stakeholders.
The role blends people leadership with hands-on technical direction across architecture, delivery, quality, and reliability.
Requirements of the Role Key responsibilities Lead, coach, and grow a cross-functional team of software engineers (and closely partnered OR/data science specialists)Own technical direction and delivery for products that model, optimise, and operationalise solutions to disruption and crewing problems (e. g., recovery planning, re-optimisation, what-if analysis).
Drive architecture and design decisions for services, APIs, data pipelines, and user-facing workflows that support optimisation at scale.
Partner with product management to shape roadmap, break down ambiguous problem statements, and define measurable outcomes and acceptance criteria.
Collaborate with OR/optimisation experts to integrate solvers (e. g., Gurobi) and ensure model performance, correctness, explainability, and maintainability.
Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post-incident learning.
Build observability into optimisation services (KPIs, logs, traces) and manage performance tuning (latency, throughput, cost) across environments.
Contribute hands-on when needed (prototyping, critical-path coding, reviews), while primarily enabling the team to deliver consistently.
Required qualifications Proven experience leading a software engineering team delivering production-grade systems (people leadership and/or strong technical leadership), that encompass solver technology (like CPLEX or Gurobi).
Strong software engineering fundamentals: system design, distributed systems concepts, APIs, data modelling, testing, and operational excellence.
Experience building optimisation, scheduling, or decision-support applications, or closely related domains requiring complex constraint-based reasoning.
Working knowledge of mathematical optimisation concepts (e. g., MILP, constraint programming, heuristics/metaheuristics) and how they impact product design.
Hands-on programming experience in one or more mainstream languages (e. g., Python, Java, C#, C++), with the ability to review and guide code quality.
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Lead Data Scientist - Optimisation Engineering in London employer: easyJet Airline Company PLC
At easyJet, we pride ourselves on being a leading low-cost airline that not only connects millions of customers across Europe but also fosters a vibrant and inclusive work culture. As a Lead Data Scientist in Optimisation Engineering, you will have the opportunity to lead a dynamic team, drive innovative solutions, and contribute to meaningful projects that enhance our operational efficiency. With a strong focus on employee growth, collaboration, and a commitment to safety and excellence, easyJet offers a rewarding environment where your contributions truly matter.
Contact Details:
easyJet Airline Company PLC Recruitment Team
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