At a Glance
- Tasks: Design advanced algorithms for pricing strategies and optimise revenue management.
- Company: Join easyJet, a leading low-cost airline with a vibrant culture.
- Benefits: Competitive salary, bonus potential, flexible working, and travel discounts.
- Other info: Hybrid work policy and commitment to inclusivity and diversity.
- Why this job: Make a real impact on airline operations and collaborate with top minds in data science.
- Qualifications: Degree in relevant field and 2+ years in analytics or algorithm development.
The predicted salary is between 60750 - 74250 £ per year.
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.
Requirements of the Role
What We're Looking For
Essential Qualifications
- Degree in statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field.
- 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling.
- Proficiency in SQL and Python.
- Strong understanding of commercial/pricing problems and business fundamentals.
- Advanced data skills: statistical modelling, machine learning, time‑series forecasting, demand prediction, optimisation, inventory management.
- Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus.
Preferred Experience
- Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e‑commerce, or similar dynamic pricing industries.
- Familiarity with data engineering concepts (pipelines, data quality, testing, sampling).
Who You Are
- Commercially minded with genuine curiosity about business problems, not just algorithms.
- Comfortable working in a fast‑paced, evolving environment.
- Committed to continuous learning and iterative improvement.
- Excellent communicator who can translate technical concepts for business audiences.
- Data‑driven problem solver with strong analytical rigor.
Why Join Us
- Work on real, high‑impact systems used by thousands of flights daily.
- Access to world‑class data and complex, real‑world optimisation challenges.
- Collaborate with leading minds across data science, engineering, and commerce.
- Develop in‑house expertise with tools built specifically for airline problems.
- Be part of a team that values both technical excellence and business acumen.
What you’ll get in return
At easyJet, we pride ourselves on a vibrant and inclusive workplace culture that supports and rewards innovation and excellence.
- Competitive base salary.
- Up to 20% annual bonus potential.
- 25 days holiday, pension scheme, life assurance, and a flexible benefits package.
- Discounted staff travel scheme 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.
Location & Hours of Work
We operate a hybrid working policy of 2 days a week spent with colleagues. We look forward to your application and the possibility of you flying high with our team!
Reasonable Adjustments
At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us.
Business Area: Commercial
Commercial Data Scientist / Data Analyst - FTC 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
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Data Scientist / Data Analyst - FTC in London
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We think you need these skills to ace Commercial Data Scientist / Data Analyst - FTC in London
Some tips for your application 🫡
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to easyJet Airline Company PLC, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at easyJet Airline Company PLC
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at easyJet Airline Company PLC.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at easyJet Airline Company PLC.
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Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at easyJet Airline Company PLC.
