- Data Scientist (16366)OverviewData Scientist – Luton/HybrideasyJet is a leading European airline focused on making low-cost travel easy. We operate across Europe with a large network, serving millions of passengers annually. The Data Science Centre of Enablement (CoE) seeks a Data Scientist to contribute to data science training, establish best practices, support model development for business functions, and collaborate with stakeholders to drive innovation in data science and AI across the organization.The Data Science CoE is part of the wider Data Analytics & Integration team and collaborates with IT, Data Engineering, Data Management, Demand Management, and external partners to augment capabilities.This role reports to the Head of Data Science.Job PurposeThe Data Scientist will be responsible for:Contributing to the development of Data Science training to upskill resources across the business with current methodologies, best practices, and algorithms.Contributing to the development of Data Science best practice, establishing technical standards and guidelines for consistency and quality across projects.Working with senior colleagues to provide data science development support for business functions, including building, validating, and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models.Collaborating on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement, including partnerships with external innovation collaborators and integrating new technologies.Participating in the majority of the Data Science Project Lifecycle with knowledge of the Data Science Toolbox.Job AccountabilitiesAct as a valued and trusted expert in your area of specialism within the Data Science community.Apply Agile methodologies and a hypothesis-driven approach when required.Work with the Data Management team to enhance data quality and trust used for analysis.Contribute to the majority of the Data Science Project Lifecycle from idea to production.Build, validate and manage intermediate prediction, simulation, optimisation models and algorithms.Collaborate with senior team members to define and use KPIs and diagnostics to measure performance against business goals.Deliver training sessions for the Data Science community in your specialist area.Requirements of the RoleTechnical Skills RequiredStrong programming skills in Python, SQL and PySpark.Novice knowledge level of the Data Science Toolbox (fundamentals of Mathematics and Statistics, programming, data ingestion, data munging, data visualisation, machine learning, optimisation, simulation, reinforcement learning and big data techniques).A good analytical background with a degree or MSc in a scientific/engineering field (Statistics, Maths, Computer Science, Engineering, Physical Sciences) or equivalent commercial experience.Strong understanding of model development, including training, fine-tuning, and lifecycle management.Technical Skills DesiredExperience creating and maintaining generative and agentic AI models.Strong programming skills in a compute-optimised language.Intermediate knowledge of optimisation techniques (Linear Programming, Integer Programming, Mixed-Integer Programming, Constraint Programming).Knowledge of exact methods as well as (meta)heuristic methods of optimization.Familiar with optimisation platforms/packages (Gurobi, ORTools CPLEX, PuLP or similar).What we offerAbout easyJetAt easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service. We carry a large passenger volume across many countries with a positive, inclusive culture.Reasonable AdjustmentsWe are dedicated to fostering an inclusive workplace. If you require adjustments during the application process, please contact ma.recruitment@easyjet.com. We are committed to providing reasonable adjustments to ensure accessibility and accommodation throughout recruitment.ApplyComplete your application on our careers site.We encourage individuality, empower our people to take initiative, and support ongoing learning. We value performance and potential and strive to build a diverse and inclusive organisation.Business AreaPrimary Location #J-18808-Ljbffr