Data Scientist - CoE

The Data Science Centre of Enablement (CoE) are seeking a Data Scientist to join our team. The ideal candidate will have a strong background in data science & AI. Responsibilities include developing and updating Data Science training, establishing best practices and standards for data science & AI, supporting business functions with model development, and collaborating with stakeholders to drive innovation in data science and AI across the organisation.

The Data Science CoE team is an integral part of the wider Data Analytics & Integration team, which also includes Data Analytics and Data Management teams, and is closely integrated with the IT team, especially in areas of Demand Management, Data Engineering and Service Delivery. The team works closely with a growing number of internal stakeholders across easyJet on multiple transformation projects. The team also works in partnership with a select few external stakeholders who augment our capabilities such as Algorithm support.

This role reports into Head of Data Science.

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• Contributing to the development of Data Science training ensuring that we skill up resources across the business, and they are also up to date with the latest methodologies, best practices, and algorithms.
  
• Contributing to the development of Data Science best practice. Establishing the technical standards and guidelines for best practices in data science, ensuring consistency and high quality in data science projects across the organisation.
  
• Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models.
  
• Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation partners and integrating new technologies and methodologies.
  
• Participating in the majority of the Data Science Project Lifecycle utilising knowledge of the Data Science Toolbox.
  

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• Act as a valued and trusted expert in your area of specialism within the Data Science community.
  
• Apply Agile methodologies and the hypothesis-driven approach when it is required.
  
• Work alongside the Data Management team to enhance data quality, thereby increasing trust in the data utilised for analysis.
  
• Contribute to the majority of the Data Science Project Lifecycle from idea to production.
  
• Build, validate and manage intermediate prediction, simulation, optimisation models and algorithms.
  
• Work with senior team members to define and use the key performance indicators (KPIs) and diagnostics to measure performance against business goals.
  
• Deliver training sessions for the Data Science community in your specialist area.
  

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• Have strong programming skills in Python, SQL and PySpark.
  
• Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies).
  
• A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths, Computer Science, Engineering, Physical Sciences) or equivalent commercial experience.
  
• Strong understanding of model development, including training, fine-tuning, and lifecycle management.
  

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• Experience creating and maintaining generative and agentic AI models.
  
• Have strong programming skills in one compute-optimised language.
  
• Have an intermediate knowledge of optimisation techniques such as Linear Programming, Integer Programming, Mixed-Integer Programming, Constraint Programming.
  
• Have knowledge of both exact methods as well as (meta)heuristic methods of optimization.
  
• Familiar with optimisation platforms/packages (Gurobi, ORTools, CPLEX, PuLP or similar).
  

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• 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% of the month spent with colleagues.

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

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.