Capacity Planning Data ScientistLocation: Middlesex (3 days onsite, 2 days from home)Salary: Negotiable depending on experienceJob Ref: J13078A market leading global logistics organisation is seeking a highly motivated Airline Capacity Planning Data Scientist who wants to apply their work in a real, high impact environment.Your work will directly influence how capacity is planned, optimised, and delivered within a complex, high volume operational setting.This role sits at the intersection of data science and operations research, with a strong focus on simulation, modelling, and real world system optimisation.You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions.The role: Design and build machine learning models to forecast demand, utilisation and system performance Work with large scale, time series datasets to engineer features and improve model accuracy Apply robust validation, tuning and model selection techniques to deliver reliable outputs Build and calibrate discrete event simulation (DES) models of complex operational systems to stress test capacity under different demand scenarios Carry out scenario analysis and what if modelling to support planning and investment decisions Translate complex analytical outputs into clear, actionable insights for operational stakeholders Develop tools and dashboards to monitor system performance and support decision making Work closely wit