Senior Data Scientist

easyJet; Luton; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading airline in the UK is seeking a Senior Data Scientist to lead innovative data-driven projects and develop advanced analytics capabilities. The ideal candidate will have expertise in the Data Science Toolbox, strong analytical and project management skills, and experience in mentoring junior data scientists. This role offers a competitive salary, a dynamic work environment, and opportunities for hybrid working. Join us to make a significant impact in our fast-paced business.

Benefits

Competitive base salary

20% bonus potential

25 days holiday

Pension scheme and life assurance

Flexible benefits package

Discounted staff travel scheme

‘Work Away’ scheme

Electric vehicle lease scheme

Qualifications

• Experience in data science roles with progressive responsibility.
• Strong analytical background in scientific fields such as Mathematics or Computer Science.
• Proven ability to present technical concepts to non-technical audiences.

Responsibilities

• Lead delivery of Data Science projects from ideation to implementation.
• Design and execute complex analytical approaches to business questions.
• Mentor junior data scientists and conduct code reviews.

Skills

Data Science Toolbox expertise

Analytical reasoning

Stakeholder management

Project management skills

Commercial awareness

Education

Degree or MSc in a relevant field

Tools

Machine Learning

Big Data

Job description

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 [e-mail]. 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!