Senior Commercial Data Scientist
Summary
Senior Commercial Data Scientist at easyJet's Commercial Analytics team in London Luton Airport, building next-generation pricing and optimisation systems for revenue management, network planning, scheduling, and inflight retail. Day-to-day work centers on algorithmic models for dynamic pricing and revenue forecasting, validated via simulations, backtests, and A/B experiments, using data science,
Commercial Data Scientist / Data Analyst
easyJet Commercial Analytics
We are easyJet – 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 easyJet 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 easyJet? Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.
The Opportunity
Join easyJet's Commercial Analytics team and shape the future of revenue management at scale. We're building next-generation pricing and optimisation systems that directly drive business performance across the airline industry. You'll work at the intersection of data science, business strategy, and software engineering—developing algorithms that impact real commercial decisions every single day.
Our Revenue Management and Commercial Data Science chapter is responsible for powering pricing, network planning, scheduling, and inflight retail optimisation. We're currently reimagining our entire platform, modernizing the backend, redesigning the UI, and enhancing our algorithms to meet tomorrow's commercial challenges.
What You'll Do
· Design and develop advanced algorithmic models for dynamic pricing strategies, revenue forecasting, and cost optimisation
· Test rigorously through simulations, backtests, shadow testing, and A/B experiments to quantify real-world impact
· Conduct research on airline commercial problems and emerging industry dynamics
· Translate insights into action by presenting findings and recommendations to business stakeholders and subject matter experts
· Build sustainably by maintaining robust code, comprehensive documentation, and scalable systems
· Run and maintain existing systems, ensuring optimal performance, reliability, and continuous operational improvement
· Collaborate cross-functionally with Trading, Network, Scheduling, Proposition, and Inflight Retail teams to implement integrated solutions
About Our Team
We're a diverse team of engineers, economists, statisticians, mathematicians, and computer scientists—all united by a passion for solving complex commercial problems with data and algorithms.
We leverage cutting-edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision-making and drive competitive advantage. If you thrive in intellectually challenging environments and want your work to have immediate business impact, you'll fit right in.