Data Scientist Senior Manager

Data Scientist Senior Manager (17117)

We are easyJet – a FTSE-250 listed, £multi‑billion low‑cost airline that serves tens of millions of customers each year. We fly more than 1,207 routes, connecting 38 countries across Europe, employ more than 18,000 colleagues and are on a mission to make low‑cost travel easy. Our promise behaviours are Safe, Bold, Welcoming and Challenging – four behaviours, one spirit, one easyJet.

Team

The role sits in the Ops Data & Intelligence team, the centre of excellence for data delivery, analytics and data science capabilities in Operations. It leads a 5‑person data science team to leverage advanced analytics for operational performance, including on‑time performance, cost efficiency and customer satisfaction.

Job Purpose

Responsibilities include:

• Leadership & Team Management – Mentor and develop the data science team, foster a high‑performance culture and ensure best practices in modelling, experimentation and deployment.
• Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets.
• Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve decision‑making.
• Stakeholder Engagement – Manage project prioritisation, resource allocation and communication with internal stakeholders.
• Project Lifecycle Ownership – Lead the entire data‑science project lifecycle using advanced tools and a deep understanding of easyJet’s business nuances.
• Oversight of data‑science application to the operations technology strategy and product ways of working to drive better decision‑making and outcomes.

Requirements

Key Skills Required

• Significant experience as a Data Scientist.
• Strong team leadership skills: mentoring, cross‑functional collaboration, driving high‑impact projects and aligning with business objectives.
• Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‑data technologies.
• Experience leading successful data‑science projects in an operational setting (preferred).
• Understanding of key user personas, customers and stakeholders and their pain points.
• Excellent prioritisation and decision‑making skills aligned with business priorities and resources.
• Active participation in the analytics community, sharing knowledge with peers.
• Support for team and operations to stay current with data trends.

Competencies

• Ownership and Delivery – Set ambitious objectives, drive results, and support team members in meeting expectations.
• Innovation and Change – Identify efficiency improvements, encourage creativity and manage change constructively.
• Developing Talent – Use performance management to motivate and develop high‑potential individuals.
• Inspirational Leadership – Inspire the team, communicate the bigger picture, and coach managers.

Benefits

We offer competitive base salary, 25 days holiday, pension scheme, life assurance and a flexible benefits package. Other benefits include discounted staff travel for friends and family, annual holiday credits, a ‘Work Away’ scheme (30 days a year abroad), and an electric‑vehicle lease salary‑sacrifice scheme.

Location & Hours of Work

The role follows a hybrid working policy with 40–60 % of the month spent with colleagues.

Application Process

Interested candidates should apply through our careers portal. If you need reasonable adjustments during the recruitment process, contact

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