What you will need to do the role:
· MSC/Ph.D. in statistics, data science, econometrics, quantitative economics, operations research
· Minimum 5 years’ experience with applied statistical modelling with R, Python, Julia, SAS, Stata, SPSS, JMP, Minitab or other software
· Willingness to work in Python and SQL
· Experience in C is an advantage
· Experience in pricing/revenue management forecasting, inventory management (airline, hotel, car rental, e-commerce businesses)
· Entrepreneurship. Results-oriented. Collaborative.
· Continuous improvement and continuous learning
· Comfortable in a fast-paced and challenging environment.
· High tolerance for ambiguity and change
What you’ll get in return:
· Competitive base salary
· Up to 20% bonus
· 25 days holiday plus bank holidays, with opportunity to buy 5 additional days leave after 12 months in role
· BAYE, SAYE & Performance share schemes
· 7% pension
· Life Assurance (x4)
· Discounted staff travel scheme with access for friends and family
· Annual credit for discount on easyJet holidays
· ‘Work Away’ scheme, allowing you to work abroad for 30 days a year
· Electric vehicle lease salary sacrifice scheme
· Access to online learning tools and development programmes
Location & Hours of Work
This is a full-time role. We support hybrid working and we spend three days per week in the office
About easyJet
At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service.
It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of our front-line operations or in our corporate functions, you’ll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our ‘Orange Spirit’, and we hope you’ll share that too.
Apply
Complete your application on our careers site.
We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates.
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