About this role
Salary: £30,000 - 70,000 per year
Requirements: Significant experience leading end-to-end Data Science projects within operational, logistics, manufacturing or similarly complex environmentsDegree or MSc in a scientific, engineering or analytical discipline such as Statistics, Mathematics, Computer Science, Engineering or Physical SciencesSignificant commercial experience in Data Science roles, with demonstrable progression in responsibilityStrong technical knowledge across key areas of the Data Science toolkit including programming, machine learning, data preparation, visualisation and predictive analyticsExposure to optimisation, simulation or advanced analytical techniquesExperience delivering Data Science solutions within operational, logistics, manufacturing, process-driven or similarly complex business environmentsProven ability to independently manage projects, prioritise competing demands and deliver results in fast-paced environmentsStrong stakeholder management and communication skills, with confidence presenting technical concepts to non-technical audiencesExperience working alongside Product Owners, Software Engineers and cross-functional teamsStrong commercial awareness and a pragmatic approach to solving business problemsPassion for mentoring, collaboration and building analytical capability within teams Responsibilities: Lead end-to-end delivery of Data Science projects, from problem definition and modelling through to production implementation and monitoringAnalyse complex datasets from multiple sources to answer strategic business questions and identify opportunities for improvementDevelop, validate and deploy predictive, simulation and optimisation models to support business performanceTranslate technical findings into clear, actionable recommendations for technical and non-technical stakeholdersCollaborate with cross-functional teams in a product-led environment to support operational and technology transformation initiativesMentor junior Data Scientists, providing coaching, technical guidance and knowledge sharingContribute to best practice development, helping strengthen Data Science capability across the organisationStay up to date with emerging tools, technologies and methodologies, evaluating opportunities for business application Technologies: SupportMachine LearningNetwork More:
We are easyJet, a FTSE listed, multi-billion low-cost airline serving tens of millions of customers every year. We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. Our mission is to make low-cost travel easy, and our Data Science team sits at the centre of driving smarter, faster and more informed decision making across the business. We work in a collaborative product environment with stakeholders across operations and technology to solve complex challenges, improve performance and enhance customer experience. We offer up to 20% maximum bonus, Private Medical Insurance, 7% pension contributions, excellent staff travel benefits, 25 days of annual leave plus bank holidays, an annual credit towards an easyJet holiday, and various flexible benefits and extras.
last updated 36 week of 2026