The Team
Join the Commercial organisation at easyJet, where the Trading, Pricing, and Revenue Management department is responsible for pricing over 100 million tickets and ancillary products annually. easyJet’s Pricing System is entirely developed and tested in-house by practitioners and tuned to real-life pricing problems. Currently, we are on the road to develop our next generation system including reengineering the system’s backend, UI and algorithms.
Our team come from diverse backgrounds including engineering, economics, statistics, and mathematics. We leverage data science, data analysis and subject matter expertise to drive key pricing decisions. As part of the team, you’ll develop, test, and manage cutting-edge pricing systems and algorithms, working at the exciting intersection of Business, IT, and research.
You will:
What You’ll Need:
Solid understanding of the pricing problem, and data science (pipelines, sampling, testing, statistics, machine learning, inventory management, dynamic pricing, demand forecasting, optimisation, stochastic processes, Bayesian inference)
MSC/Ph.D. in statistics, data science, econometrics, quantitative economics, operations research, mathematics
At least 5 years of experience in applied statistical modelling using software like R, Python, Julia, SAS, Stata, SPSS, JMP, or Minitab
Familiarity with our tech stack: T-SQL, Python, C, Databricks, GitHub
Experience in industries such as airlines, lodging, car rentals, or e-commerce
A passion for working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.
A dynamic and creative team environment
Competitive base salary and annual bonus
BAYE, SAYE & Performance share schemes
Flexible benefits package (life insurance, pension, holidays)
Discounted staff travel with access for family and friends.
If you thrive on innovation and enjoy working at the forefront of pricing and revenue management, we’d love to hear from you!
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