At a Glance
- Tasks: Lead impactful data science projects and solve complex business challenges.
- Company: Join easyJet, Europe's iconic low-cost airline with a vibrant culture.
- Benefits: Enjoy competitive salary, private medical insurance, and excellent travel perks.
- Other info: Flexible benefits and a commitment to inclusivity in the workplace.
- Why this job: Make a real impact in a collaborative environment while mentoring future data scientists.
- 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 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. 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.
Read on if you:
- Have significant experience leading end-to-end Data Science projects within operational, logistics, manufacturing or similarly complex environments
- Enjoy solving business problems using predictive analytics, machine learning and data‑driven decision making
- Can work closely with stakeholders, product teams and engineers to turn complex analysis into practical business outcomes
The Team:
Our Data Science team sits at the centre of driving smarter, faster and more informed decision making across the business. Working in a collaborative product environment, we partner with stakeholders across operations and technology to solve complex challenges, improve performance and enhance customer experience. This is a team that values curiosity, innovation and real‑world impact – combining advanced analytics with commercial thinking to deliver solutions that matter.
The Role:
As a Senior Data Scientist, you’ll lead high‑impact data science initiatives from concept through to deployment and monitoring, helping solve some of our most important business challenges. You’ll work across cross‑functional teams including Product Owners, Software Engineers and business stakeholders, building scalable analytical solutions that improve operational performance and customer outcomes. This is a hands‑on senior role suited to someone who can independently own projects, influence decision making and balance technical depth with strong stakeholder engagement.
You’ll also:
- Lead end-to-end delivery of Data Science projects, from problem definition and modelling through to production implementation and monitoring
- Analyse complex datasets from multiple sources to answer strategic business questions and identify opportunities for improvement
- Develop, validate and deploy predictive, simulation and optimisation models to support business performance
- Translate technical findings into clear, actionable recommendations for technical and non-technical stakeholders
- 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, helping strengthen Data Science capability across the organisation
- Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application
Requirements of the Role:
- Degree or MSc in a scientific, engineering or analytical discipline such as Statistics, Mathematics, Computer Science, Engineering or Physical Science
- Significant commercial experience in Data Science roles, with demonstrable progression in responsibility
- Strong technical knowledge across key areas of the Data Science toolkit including programming, machine learning, data preparation, visualisation and predictive analytics
- Exposure to optimisation, simulation or advanced analytical techniques
- Experience delivering Data Science solutions within operational, logistics, manufacturing, process‑driven or similarly complex business environments
- Proven ability to independently manage projects, prioritise competing demands and deliver results in fast‑paced environments
- Strong stakeholder management and communication skills, with confidence 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
What you’ll get in return:
- 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
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 at ma.recruitment@easyjet.com. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
Senior Data Scientist in Luton employer: Women in Data®
At easyJet, we pride ourselves on being a dynamic and inclusive employer that values innovation and collaboration. As a Senior Data Scientist, you'll be at the forefront of driving impactful data initiatives within a supportive team environment, with opportunities for professional growth and development. Enjoy competitive benefits, including generous annual leave, private medical insurance, and excellent staff travel perks, all while contributing to our mission of making low-cost travel easy for millions across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Luton
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Women in Data®.
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We think you need these skills to ace Senior Data Scientist in Luton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Women in Data®, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Women in Data®. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Women in Data®
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Women in Data®!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
