Senior Data Scientist

As a Senior Data Scientist, you’ll lead high-impact data science initiatives from concept through to deployment and monitoring, helping solve some of our most important business challenges.

You’ll work across cross-functional teams including Product Owners, Software Engineers and business stakeholders, building scalable analytical solutions that improve operational performance and customer outcomes.

This is a hands-on senior role suited to someone who can independently own projects, influence decision making and balance technical depth with strong stakeholder engagement.

You’ll also:

Lead end-to-end delivery of Data Science projects, from problem definition and modelling through to production implementation and monitoring

Analyse complex datasets from multiple sources to answer strategic business questions and identify opportunities for improvement

Develop, validate and deploy predictive, simulation and optimisation models to support business performance

Translate technical findings into clear, actionable recommendations for technical and non-technical stakeholders

Collaborate with cross-functional teams in a product-led environment to support operational and technology transformation initiatives

Mentor junior Data Scientists, providing coaching, technical guidance and knowledge sharing

Contribute to best practice development, helping strengthen Data Science capability across the organisation

Stay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application

Do you have experience in Presentation skills?, Do you have a Master’s degree?, > Have significant experience leading end-to-end Data Science projects within operational, logistics, manufacturing or similarly complex environments

Enjoy solving business problems using predictive analytics, machine learning and data-driven decision making

Can work closely with stakeholders, product teams and engineers to turn complex analysis into practical business outcomes, > Degree or MSc in a scientific, engineering or analytical discipline such as Statistics, Mathematics, Computer Science, Engineering or Physical Sciences

Significant commercial experience in Data Science roles, with demonstrable progression in responsibility

Strong technical knowledge across key areas of the Data Science toolkit including programming, machine learning, data preparation, visualisation and predictive analytics

Exposure to optimisation, simulation or advanced analytical techniques

Experience delivering Data Science solutions within operational, logistics, manufacturing, process-driven or similarly complex business environments

Proven ability to independently manage projects, prioritise competing demands and deliver results in fast-paced environments

Strong stakeholder management and communication skills, with confidence presenting technical concepts to non-technical audiences

Experience working alongside Product Owners, Software Engineers and cross-functional teams

Strong commercial awareness and a pragmatic approach to solving business problems

Passion for mentoring, collaboration and building analytical capability within teams

Pulled from the full job description

• Annual leave
• Company pension
• Private medical insurance

We are easyJet - a FTSE-100 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.