• What you'll work onExtracting insights from fast-growing operational and flight data sources
• Building and productionizing AI/ML models that predict flight delays, optimize maintenance planning, and support smarter crew scheduling.
• Contributing to large-scale optimization and simulation projects
• Developing tools that make complex operational processes more transparent for planners and crews, supporting faster decision-making
• Working with real-time data and smart calculations to improve the passenger and crew experience

This is youFrom a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:✅ A background in Data Science, Business Analytics, or Artificial intelligence✅ 4-6 years of work experience as a Data scientist or ML(OPS)✅ Hands-on experience with both the Data Science side (modeling, analysis) and the Machine Learning side, including getting models into production✅ Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes✅ Demonstrated experience with production-grade GenAI implementations (modern GenAI/LLM frameworks such as RAG pipelines)✅ Active stakeholder interaction

• What you'll work onExtracting insights from fast-growing operational and flight data sources
• Building and productionizing AI/ML models that predict flight delays, optimize maintenance planning, and support smarter crew scheduling.
• Contributing to large-scale optimization and simulation projects
• Developing tools that make complex operational processes more transparent for planners and crews, supporting faster decision-making
• Working with real-time data and smart calculations to improve the passenger and crew experience

This is youFrom a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:✅ A background in Data Science, Business Analytics, or Artificial intelligence✅ 4-6 years of work experience as a Data scientist or ML(OPS)✅ Hands-on experience with both the Data Science side (modeling, analysis) and the Machine Learning side, including getting models into production✅ Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes✅ Demonstrated experience with production-grade GenAI implementations (modern GenAI/LLM frameworks such as RAG pipelines)✅ Active stakeholder interaction