Location: Middlesex (3 days onsite, 2 days from home)Job 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 performanceWork with large scale, time series datasets to engineer features and improve model accuracyApply robust validation, tuning and model selection techniques to deliver reliable outputsBuild and calibrate discrete event simulation (DES) models of complex operational systems to stress test capacity under different demand scenariosCarry out scenario analysis and what if modelling to support planning and investment decisionsTranslate complex analytical outputs into clear, actionable insights for operational stakeholdersDevelop tools and dashboards to monitor system performance and support decision makingWork closely with operational teams to ensure models reflect real world constraints and behavioursExperience required:Master’s degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative disciplineStrong experience in a Data Scientist or Operational Research focused role working with large, complex datasetsSolid understanding of machine learning techniques such as gradient boosting, random forests and time series modellingExperience building and deploying models used in real world decision making (e.g. ensemble methods, regularised regression)Advanced proficiency in R, including tidyverse, data.table, caret or tidymodels, xgboost and ShinyStrong SQL skills with experience querying large scale relational databases such as Azure SQL or PostgreSQLExperience working with high volume or time based data, including feature engineeringExperience with simulation, discrete event simulation, or operations research techniques is highly desirableAbility to communicate complex analysis clearly to non-technical stakeholdersComfortable working in fast paced, operational environmentsProactive, hands on approach with the ability to take ownership of problems end to endIf you want to work on complex systems where your output is actually used and matters, this is a genuinely strong opportunity to do that.Please note we can only accept applications from those with current and full UK working rights for this role, as sponsorship is not available.If this sounds like the role for you then please apply today.We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.Stay connected! Follow us on LinkedIn for updates on career opportunities and more. #J-18808-Ljbffr