Women in Data®
Senior Data Scientist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
We are easyJet
A FTSE 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.
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
What we’re looking for
- 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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
Women in Data® advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community. Stay connected! Follow us on LinkedIn for updates on career opportunities and more.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location