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- Tasks: Design and develop advanced models for algorithmic pricing strategies and conduct impactful tests.
- Company: Join easyJet, a leading airline making low-cost travel easy across Europe.
- Benefits: Enjoy competitive salary, flexible benefits, and discounted staff travel for you and your loved ones.
- Why this job: Work at the cutting edge of pricing and revenue management in a dynamic, innovative environment.
- Qualifications: MSC/Ph.D. in relevant fields with 5+ years of statistical modeling experience required.
- Other info: Embrace our 'Orange Spirit' culture focused on teamwork, inclusivity, and continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
Description
Senior Data Scientist – Pricing and Revenue Management
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 comes 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:
- Design and develop advanced models for algorithmic pricing strategies.
- Conduct simulations, back-tests, shadow-tests, and real-life A/B tests to measure impact.
- Engage in pioneering revenue management research in collaboration with academia.
- Analyse and present insights to subject matter experts.
- Maintain and enhance the codebase and documentation.
Requirements of the Role
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.
What You’ll Get in Return:
- A dynamic and creative team environment.
- Competitive base salary and annual bonus.
- BAYE, SAYE & Performance share schemes.
- Flexible benefits package (life insurance, pension, holidays).
- ‘Work Away’ scheme, allowing you to work abroad for 30 days a year.
- Discounted staff travel with access for family and friends.
- Annual credit for discount on easyJet holidays.
Location & Hours of Work
These are full-time positions and we typically get together 2-3 times a week.
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.#J-18808-Ljbffr
Senior Data Scientist - Pricing and Revenue Management employer: Easyjet
Contact Detail:
Easyjet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Pricing and Revenue Management
✨Tip Number 1
Familiarize yourself with the specific pricing models and algorithms used in the airline industry. Understanding how dynamic pricing works in this context will give you a significant edge during discussions.
✨Tip Number 2
Engage with current trends in revenue management and data science by following relevant publications and attending webinars. This will not only enhance your knowledge but also show your passion for continuous learning.
✨Tip Number 3
Network with professionals in the field of data science and pricing, especially those who have experience in the airline or e-commerce sectors. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your past projects in detail, particularly those involving statistical modeling and algorithm development. Be ready to explain your thought process and the impact of your work on pricing strategies.
We think you need these skills to ace Senior Data Scientist - Pricing and Revenue Management
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities, required skills, and the technologies mentioned. This will help you tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with statistical modeling and data science tools like R, Python, or SQL. Provide specific examples of projects where you've developed pricing strategies or conducted A/B tests.
Showcase Your Passion: Express your enthusiasm for working in a fast-paced environment and your commitment to continuous learning. Mention any relevant courses, certifications, or personal projects that demonstrate your dedication to the field of data science and pricing.
Tailor Your Application: Customize your cover letter to reflect easyJet's values and culture. Use language that resonates with their focus on innovation and teamwork. Make sure to convey how your background aligns with their mission of making low-cost travel easy.
How to prepare for a job interview at Easyjet
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical modeling and programming languages like R, Python, or Julia. Highlight specific projects where you've applied these skills, especially in pricing strategies or revenue management.
✨Understand the Pricing Problem
Demonstrate a solid understanding of pricing challenges in the airline industry. Be ready to discuss concepts like dynamic pricing, demand forecasting, and optimization techniques that are relevant to easyJet's operations.
✨Engage with Real-World Scenarios
Prepare for case studies or hypothetical scenarios related to pricing and revenue management. Think through how you would approach simulations, A/B tests, or back-testing models to measure impact effectively.
✨Emphasize Collaboration and Continuous Learning
easyJet values teamwork and innovation. Share examples of how you've collaborated with cross-functional teams or engaged in research partnerships. Also, express your enthusiasm for continuous learning and adapting to new challenges in a fast-paced environment.
