Role overview
- Master’s degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline
Demonstrable portfolio of applied machine learning projects with real-world datasets
Advanced proficiency in R programming, including tidyverse, data.table, caret/tidymodels, xgboost, and Shiny
Strong SQL skills with experience querying large-scale relational databases (Azure SQL, PostgreSQL, or equivalent)
Hands-on experience with DuckDB or similar columnar/analytical databases for high-performance local analytics
Solid understanding of supervised learning algorithms (gradient boosting, ensemble methods, regularised regression) with practical deployment experience
Experience with feature engineering for time-series and operational data, including lag features, rolling aggregates, and temporal encoding
Proficiency in data pipeline development using Azure Data Factory, or similar orchestration tools
Proven ability to translate business problems into analytical frameworks and deliver actionable recommendations
Excellent written and verbal communication skills; comfortable presenting to senior leadership and external stakeholders
Strong problem-solving mindset with attention to statistical rigour and reproducibility
Ability to work effectively within a team of 9 analysts while managing independent workstreams
Experience in aviation, airport operations, logistics, or baggage handling systems
Familiarity with discrete event simulation tools and methodologies
Knowledge of LaTeX for technical documentation and report generation
Experience with GPU-accelerated machine learning (CUDA, cuML) or high-performance computing environments
Exposure to version control (Git) and collaborative development workflows
Familiarity with Python as a secondary language for interoperability
Vanderlande is an equal opportunity/affirmative action employer. Qualified applicants will be considered without regards to race, religion, color, national origin, gender, sexual orientation, age marital status or disability status. If you feel there is a barrier that potentially prevents you from applying, we are always happy to discuss or explore, any reasonable adjustments can be made to support your application.