At a Glance
- Tasks: Lead impactful data science projects from start to finish, transforming complex data into actionable insights.
- Company: Join easyJet, a leading low-cost airline with a mission to make travel easy and affordable.
- Benefits: Enjoy competitive bonuses, private medical insurance, generous leave, and amazing staff travel perks.
- Other info: Be part of a diverse team that values collaboration and continuous learning.
- Why this job: Make a real difference in the travel industry while working with cutting-edge data technologies.
- Qualifications: Degree in a relevant field and significant experience in data science roles.
The predicted salary is between 60000 - 80000 £ per year.
We are easyJet – a FTSE‑100 listed, multi‑billion pound low‑cost airline that serves tens of millions of customers each year. We fly across 1,207 routes in 38 European countries and employ more than 18,000 colleagues. Our mission is to make low‑cost travel easy, delivering a network of reliable flights, competitive fares and friendly service.
We are looking for a senior data‑science professional who can own high‑impact projects from concept through deployment and monitoring. The role requires strong stakeholder engagement, technical depth and the ability to translate complex analysis into clear business outcomes.
The Data Science team sits at the centre of smarter decision‑making across the business, partnering with operations, technology and commercial teams to solve complex challenges and enhance customer experience.
Key Responsibilities- Lead end‑to‑end delivery of data‑science projects, from problem definition and modelling to production implementation and monitoring.
- Analyse complex, multi‑source datasets to answer strategic business questions and uncover improvement opportunities.
- Develop, validate and deploy predictive, simulation and optimisation models to support business performance.
- Translate technical findings into clear, actionable recommendations for both technical and non‑technical audiences.
- Collaborate with cross‑functional teams in a product‑led environment to support operational and technology transformation initiatives.
- Mentor junior data scientists, providing coaching, technical guidance and knowledge sharing.
- Contribute to best‑practice development and strengthen data‑science capability across the organisation.
- Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application.
- Degree or MSc in Statistics, Mathematics, Computer Science, Engineering or a related scientific discipline.
- Significant commercial experience in data‑science roles with demonstrable progression.
- Strong technical knowledge in programming, machine learning, data preparation, visualisation and predictive analytics.
- Experience with optimisation, simulation or other advanced analytical techniques.
- Delivered data‑science solutions within operational, logistics, manufacturing or similarly complex business environments.
- Proven ability to independently manage projects, prioritise competing demands and deliver results in fast‑paced environments.
- Excellent stakeholder management and communication skills, confident presenting technical concepts to non‑technical audiences.
- Experience working alongside Product Owners, Software Engineers and cross‑functional teams.
- Strong commercial awareness and a pragmatic approach to solving business problems.
- Passion for mentoring, collaboration and building analytical capability within teams.
- Up to 20% maximum bonus.
- Private Medical Insurance (PMI).
- 7% pension contributions.
- Excellent staff travel benefits.
- 25 days of annual leave plus bank holidays.
- Annual credit towards an easyJet holiday.
- Various flexible benefits and extras.
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. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
Senior Data Scientist in Luton employer: easyJet Airline Company PLC
At easyJet, we pride ourselves on being a leading low-cost airline that not only values innovation and data-driven decision-making but also fosters a collaborative and inclusive work culture. As a Senior Data Scientist, you'll have the opportunity to lead impactful projects while enjoying excellent benefits such as private medical insurance, generous annual leave, and unique staff travel perks. Our commitment to employee growth and mentorship ensures that you will thrive in your career while contributing to our mission of making travel accessible for everyone.
Contact Details:
easyJet Airline Company PLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Luton
✨Tip Number 1
Network like a pro! Reach out to current employees at easyJet on LinkedIn or through industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data science questions and case studies. We recommend simulating the interview environment with a friend or mentor to build your confidence and refine your answers.
✨Tip Number 3
Showcase your projects! Bring along a portfolio of your previous work that highlights your skills in data analysis and model deployment. This will help you demonstrate your technical depth and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the easyJet team.
We think you need these skills to ace Senior Data Scientist in Luton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight relevant experience and skills that match the job description, especially in data analysis and stakeholder engagement. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with easyJet's goals. Don’t forget to mention any experience with cross-functional teams, as collaboration is key for us.
Showcase Your Projects:Include specific examples of data science projects you've led or contributed to. We love seeing how you've tackled complex problems and delivered results. Make sure to explain the impact of your work on business outcomes!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at easyJet Airline Company PLC
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills before the interview. Be ready to discuss your experience with programming, machine learning, and data visualisation. Prepare examples of past projects where you’ve delivered data-science solutions, especially in complex environments like logistics or operations.
✨Speak Their Language
Since you'll be translating complex analyses into clear business outcomes, practice explaining your work in simple terms. Think about how you can present technical concepts to non-technical audiences. This will show that you can bridge the gap between data science and business needs.
✨Engage with Stakeholders
Stakeholder management is key for this role. Prepare to discuss how you've collaborated with cross-functional teams in the past. Think of specific examples where your communication skills helped drive a project forward or resolve a challenge.
✨Show Your Mentoring Side
As a senior data scientist, mentoring junior team members is part of the gig. Be ready to talk about your experience in coaching others and how you’ve contributed to building analytical capabilities within your teams. This will highlight your leadership qualities and commitment to team growth.
