easyJet is seeking a Principal Data Scientist in Optimization Engineering to lead disruption-management and crew/roster optimization initiatives. Based in London with a hybrid work arrangement, you will lead an optimization engineering team, translating operational problems into scalable software and optimization solutions, partnering with product, operations research, and customer stakeholders. The role combines leadership with hands-on technical direction across architecture, delivery, quality, and reliability.

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 models and solutions that address disruption and crewing, including recovery planning, re-optimisation, and what-if analysis - Drive architecture and design decisions for services, APIs, data pipelines, and user workflows to support optimization at scale - Partner with product management to shape roadmaps, clarify ambiguous problems, and define measurable outcomes - Collaborate with OR/optimization experts to integrate solvers (e.g., Gurobi) and ensure model performance, explainability, and maintainability - Establish strong engineering practices: code reviews, automated testing, CI/CD, release management, incident response, and post-incident learning - Build observability into optimization services (KPIs, logs, traces) and manage performance (latency, throughput, cost) - Contribute hands-on when needed while enabling the team to deliver consistently

Required qualifications: - Prov

easyJet is seeking a Principal Data Scientist in Optimization Engineering to lead disruption-management and crew/roster optimization initiatives. Based in London with a hybrid work arrangement, you will lead an optimization engineering team, translating operational problems into scalable software and optimization solutions, partnering with product, operations research, and customer stakeholders. The role combines leadership with hands-on technical direction across architecture, delivery, quality, and reliability.

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 models and solutions that address disruption and crewing, including recovery planning, re-optimisation, and what-if analysis - Drive architecture and design decisions for services, APIs, data pipelines, and user workflows to support optimization at scale - Partner with product management to shape roadmaps, clarify ambiguous problems, and define measurable outcomes - Collaborate with OR/optimization experts to integrate solvers (e.g., Gurobi) and ensure model performance, explainability, and maintainability - Establish strong engineering practices: code reviews, automated testing, CI/CD, release management, incident response, and post-incident learning - Build observability into optimization services (KPIs, logs, traces) and manage performance (latency, throughput, cost) - Contribute hands-on when needed while enabling the team to deliver consistently

Required qualifications: - Prov