Senior Data Scientist

easyJet
Luton
4 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Data Science Consultant

Senior RF Data Scientist / Research Engineer

Senior Machine Learning Engineer (Recommendation)

Senior Machine Learning Engineer

When it comes to innovation and achievement there are few organisations with a better track record. Join us and you'll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so people can exercise their get-up-and-go. With over 300 aircraft flying over 800 routes to more than 30 countries, we're the UK's largest airline, the second largest in Europe and the tenth largest in the world. Flying over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we're still growing.


Job Purpose

The Senior Data Scientist role is critical in leading data-driven initiatives and building advanced analytics capability within the organisation. The role involves architecting and delivering complex data science solutions using Agile methodologies, while mentoring junior team members and establishing best practices. You'll lead projects from ideation through to production deployment, developing sophisticated predictive and optimization models that drive measurable business impact.


JOB RESPONSIBILITES

Own end-to-end delivery of Data Science projects from ideation through production implementation and monitoring.



  • Design and execute complex analytical approaches, integrating data from diverse sources to solve strategic business questions.
  • Architect, validate and deploy advanced prediction, simulation, optimisation and reinforcement learning models at scale.
  • Translate analytical insights into actionable recommendations for senior stakeholders, directly influencing customer experience and business performance.
  • Collaborate with the Centre of Excellence to develop training programmes and embed best practice capabilities across the business.
  • Mentor and develop junior data scientists, conducting code reviews and providing technical guidance.

Key Skills Required

Expert knowledge across multiple areas of the Data Science Toolbox (Mathematics and Statistics, programming, Data Ingestion, Data Munging, visualization, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data)



  • Strong analytical reasoning with ability to decompose complex problems and design elegant solutions
  • Excellent stakeholder management and communication skills, with proven ability to present technical concepts to non-technical audiences
  • Track record of quickly mastering new technologies and methodologies
  • Demonstrated leadership within cross-functional teams and ability to influence without authority
  • Proactive in identifying opportunities for improvement and driving change
  • Strong project management skills with ability to balance multiple priorities and deliver against competing deadlines
  • Active contributor to the wider analytics community, regularly sharing knowledge and building team capability
  • Strong commercial awareness and understanding of easyJet's business model, competitive landscape and strategic priorities
  • Experience designing and implementing Data Science platforms and tooling
  • Strong analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths, Computer Science, Engineering, Physical Sciences) plus significant commercial experience
  • Relevant industry experience in data science roles, with demonstrable progression in responsibility

How to Apply:

If you are a self-starter who can identify opportunities to drive greater success for the team and have a track record of building strong relationships with internal stakeholders, we would love to hear from you. Apply now to join our dynamic team!


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.


We offer:

  • Competitive base salary
  • 20% 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 40%-60% of the month spent with colleagues.


Application Process:

Interested candidates should apply through our careers portal.


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 . We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation


We look forward to your application and the possibility of you flying high with our team!


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.