Lead Data Scientist

Lead Data Scientist

Luton/Hybrid

About Us:

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 347 aircraft flying over 1099 routes to more than 35 countries, we’re the UK’s largest airline, the fourth largest in Europe and the tenth largest in the world. Flying over 90 million passengers a year, we employ over 16,000 people. Its big-scale stuff and we’re still growing.

Role Overview:

At easyJet, we are committed to becoming a leading data-driven airline with the ambitious goal of achieving a mid-term target of £1 billion in profit. Joining our Data Analytics & Intelligence (DA&I) team means you will play a pivotal role in enabling robust and scalable data science solutions that will unlock significant revenue and cost-saving opportunities.

We are seeking a Lead Data Scientist to backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions.

• Previous experience in training and enablement of data science operating models, best practice, ways of working and machine learning lifecycle on data science
• Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice
• You’ll have an Innovative mindset: constantly seeks new approaches and technologies to improve data science practices and outputs
• The ability to be able to design and provide training

Key Responsibilities:

• Develop and optimise machine learning modules ensuring their successful deployment.

• Foster a culture of best practices in data science processes and ways of working.

• Collaborate closely with federated Data Science teams, providing occasional support.

• Engage with key stakeholders across various teams to drive data initiatives.

• Design and deliver training to enhance data literacy and capabilities within the team.

Requirements of the Role

• Experience in a commercial environment, with a strong background in Python, SQL, and preferably PySpark

• Comprehensive understanding of the data science product lifecycle, from development to production.

• Proven ability in building relationships, ownership, delivery, and developing talent.

• Excellent communication skills, able to simplify complex concepts and influence without authority.

• A collaborative spirit, valuing collective success over individual achievements.

Essential Skills:

• Expertise in Python, PySpark, SQL.

• Strong experience in building and optimising machine learning models.

• Demonstrated ability to lead initiatives and projects with minimal supervision

Benefits:

• Competitive base salary
• Up to 30% bonus
• 25 days holiday
• BAYE, SAYE & Performance share schemes
• 7% pension
• Life Insurance
• Work Away Scheme
• Flexible benefits package
• Excellent staff travel benefits

Why Join Us?

• Opportunity to work in a supportive environment under a leadership style that promotes trust, autonomy, and accountability.

• Be part of a new team structure with the opportunity to shape the future of data science at easyJet.

• Contribute to a significant business goal leveraging cutting-edge data science and machine learning technologies.

About easyJet

At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service.

It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of our front-line operations or in our corporate functions, you’ll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our ‘Orange Spirit’, and we hope you’ll share that too.

We support hybrid working and we spend three days per week in the office.

Apply

Complete your application on our careers site.

We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates