Data Scientist Senior Manager

We are easyJet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easyJet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe.

We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We’re on a mission to make low-cost travel easy – and whatever your role here, you’ll connect millions of people to what they love using Europe’s best airline network, great value fares, and friendly service.

What makes us easyJet? Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.

TEAM

The role sits in our Ops Data & Intelligence team which serves as the centre of excellence for all data delivery, analytical and data science capabilities in the Operations function.

Specifically, this new role will lead our data science team (5 individuals) as we seek to leverage advanced analytics to improve operational performance including driving on time performance, cost efficiency and customer satisfaction.

The team works closely with a growing number of internal stakeholders across easyJet on multiple transformation projects

This role reports into the Head of Operations Data and Intelligence

JOB PURPOSE

The Data Scientist Senior Manager will be responsible for:

· Leadership & Team Management. Lead, mentor, and develop a team data scientists, fostering a high-performance and collaborative culture. Ensure best practices in modelling, experimentation, and deployment.

· Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets

· Translate business problems into analytical frameworks and actionable solutions to improve decision making

· Stakeholder engagement. Manage project prioritization, resource allocation, and stakeholder communication

· Owning and leading the entire Data Science Project Lifecycle utilising an advanced knowledge level of the Data Science Toolbox and a good understanding of the nuances of the easyJet business

· Oversight of data science application to the airline ops tech strategy and product ways of working to drive better decision making and outcomes