Capacity Planning & Simulation Data Scientist

A market leading global logistics organisation is seeking an Airport Capacity Planning Data Scientist with strong experience in discrete event simulation, operational research and capacity modelling.

This role sits at the intersection of simulation, operational research and data science, supporting planning decisions within a complex, high volume operational environment. The focus is on building and calibrating DES models, carrying out scenario analysis and translating complex operational problems into practical recommendations.

Machine learning forms part of the role, but this is not a pure ML position. Experience gained within simulation, transport modelling, aviation, logistics, defence or other complex operational environments would be particularly relevant.

The role: ·Build and calibrate discrete event simulation (DES) models of complex operational systems ·Carry out what if modelling, peak flow analysis and scenario planning ·Translate complex analytical outputs into clear recommendations for operational stakeholders ·Work closely with operational teams to ensure models reflect real world behaviours and constraints ·Use machine learning techniques to forecast demand, utilisation and system performance ·Work with large scale, time series datasets to improve model accuracy ·Develop tools and dashboards to support operational decision making

·Experience in discrete event simulation, simulation modelling or operational research ·Experience with DES tools such as Simul8, AnyLogic, Arena, Witness or similar ·Background in aviation, transport, logistics, defence, manufacturing or another operational environment ·Experience solving real world operational or capacity planning problems ·Ability to communicate complex ideas clearly to non-technical stakeholders ·Experience with machine learning, R and SQL is beneficial