Lead Data Scientist

easyJet Airline Company PLC; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Lead Data Scientist to join their innovative Data Analytics & Intelligence team. In this pivotal role, you will develop and optimise machine learning solutions that drive revenue and cost-saving opportunities. The position offers a supportive environment where you can shape the future of data science while collaborating with diverse teams. With a focus on best practices in data science, you will engage with stakeholders and lead initiatives that enhance data literacy across the organisation. This is a unique opportunity to contribute to a significant business goal in a dynamic and inclusive culture.

Benefits

Competitive base salary

Up to 30% bonus

BAYE, SAYE & Performance share schemes

Flexible benefits package

Excellent staff travel benefits

Qualifications

• Experience in a commercial environment with strong Python and SQL skills.
• Proven experience in building and optimising machine learning models.

Responsibilities

• Develop and optimise machine learning modules for deployment.
• Design and deliver training to improve data literacy and capabilities.

Skills

Python

SQL

PySpark

Machine Learning

Data Science Lifecycle

Communication Skills

Job description

Job Description - Lead Data Scientist (15928)

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 to play a significant role in our successful, fast-paced business that is expanding across Europe. With over 347 aircraft flying more than 1099 routes to over 35 countries, we are the UK’s largest airline, the fourth largest in Europe, and the tenth largest worldwide. We fly over 90 million passengers annually and employ over 16,000 people, and we are still growing.

Role Overview:
At easyJet, we aim to be a leading data-driven airline with a mid-term profit target of £1 billion. Joining our Data Analytics & Intelligence (DA&I) team means you will enable scalable data science solutions that unlock revenue and cost-saving opportunities.

We seek a Lead Data Scientist to support our team by focusing on training, enablement of data science operating models, best practices, and the machine learning lifecycle.

Key Responsibilities:

1. Develop and optimise machine learning modules for deployment.
2. Promote best practices in data science processes and workflows.
3. Collaborate with federated Data Science teams and provide support as needed.
4. Engage with stakeholders to drive data initiatives.
5. Design and deliver training to improve data literacy and capabilities.

Requirements of the Role:

• Experience in a commercial environment with a strong background in Python, SQL, and preferably PySpark.
• Understanding of the full data science product lifecycle, from development to production.
• Ability to build relationships, own projects, deliver results, and develop talent.
• Excellent communication skills to simplify complex concepts and influence stakeholders.
• Collaborative mindset, valuing team success.
• Technical expertise in Python, PySpark, and SQL.
• Proven experience in building and optimising machine learning models.
• Ability to lead initiatives with minimal supervision.

Benefits:

• Competitive base salary
• Up to 30% bonus
• BAYE, SAYE & Performance share schemes
• Flexible benefits package
• Excellent staff travel benefits

Why Join Us?

• Supportive environment with leadership promoting trust, autonomy, and accountability.
• Opportunity to shape the future of data science at easyJet.
• Contribute to a significant business goal using cutting-edge data science and machine learning.

About easyJet:
Our goal is to make low-cost travel easy—connecting people across Europe with great value fares and friendly service. Our team effort carries over 90 million passengers annually across 35 countries. We foster a positive, inclusive culture called the ‘Orange Spirit’.

Apply:

Complete your application on our careers site. We value individuality, initiative, and continuous learning. We are committed to diversity and inclusion, making reasonable adjustments during the interview process and employment.

Business Area

Data

Primary Location

Luton (Hybrid)