Senior Data Scientist

Overview

In this role you will lead high-impact data science initiatives to improve operational performance and customer outcomes. You will work with Product Owners, Software Engineers and stakeholders to translate analysis into practical solutions in a collaborative, product-led environment. You will own projects end-to-end, from problem definition to deployment and monitoring, mentoring others along the way. This is an opportunity to shape analytics capability at a fast-paced, customer-focused airline.

Pay / Benefits

• Up to 20% bonus
• Private Medical Insurance (PMI)
• 7% pension contributions
• Excellent staff travel benefits
• 25 days of annual leave plus bank holidays
• Annual credit towards an easyJet holiday

Responsibilities

• Lead end-to-end delivery of Data Science projects from problem definition through production deployment and monitoring
• Analyse complex datasets from multiple sources to answer strategic questions and identify improvement opportunities
• Develop, validate and deploy predictive, simulation and optimisation models to drive performance
• Translate technical findings into clear, actionable recommendations for technical and non-technical audiences
• Collaborate with cross-functional teams (Product Owners, Software Engineers, stakeholders) to support transformation initiatives
• Mentor junior Data Scientists with coaching and knowledge sharing
• Contribute to best practice development to strengthen Data Science capability
• Stay up-to-date with emerging tools and methodologies for business application

Key requirements

• Significant commercial experience in Data Science with clear progression in responsibility
• Strong technical knowledge across programming, machine learning, data prep, visualisation and predictive analytics
• Exposure to optimisation, simulation or advanced analytical techniques
• Experience delivering DS solutions in complex, process-driven environments (operational/logistics/manufacturing)
• Proven ability to independently manage projects, prioritise competing demands in fast-paced settings
• Strong stakeholder management and communication skills; able to present technical concepts to non-technical audiences
• Experience working with Product Owners, Software Engineers and cross-functional teams
• Strong commercial awareness and pragmatic problem-solving approach
• Passion for mentoring, collaboration and building analytical capability

• Stakeholder management
• Communication
• Mentoring and coaching
• Programming
• Machine learning
• Data preparation

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