Aircraft and maintenance operations are generating more data than ever before. By applying advanced techniques from Operations Research, Machine Learning, and AI, we have the opportunity to transform this data into valuable insights that make aircraft maintenance even smarter and more efficient. As a leader in Maintenance, Repair, and Overhaul (MRO), the maintenance division of Air France-KLM not only supports our own fleet, but also provides maintenance services for aircraft, engines, and components to more than 150 customers worldwide. Are you ready to help shape the future of aircraft maintenance with your skills in Operations Research, ML and AI
As an E&M Data Scientist, you will contribute to developing the latest in-depth data-driven insights, models, and optimizations that will make a real difference in aircraft maintenance. You will use your talents to develop new data-driven products together with our Agile/SCRUM Big Data Development team, consisting of Business Product Owners, Analytics Translators, Data Engineers, and other Data Scientists.
Examples of our challenges include:
Optimization of aircraft phase out planning
We developed a Mixed Integer Programming (MIP) model to optimize aircraft component phase-out plans. The model determines the optimal allocation of components during fleet phase-out, minimizing costs such as redundant shop visits while ensuring compliance with phase-out requirements.
Optimization of maintenance planning
We design and implement Operations Research models to optimize maintenance scheduling. By leveraging Mixed Integer Linear Programming, we help planners determine the optimal timing and allocation of maintenance activities for each aircraft, while at the same time considering the flight schedule.
Optimization of maintenance decision-making
How many new mechanics should KLM E&M recruit in the coming years to meet future maintenance demands? And what is the most effective way to group maintenance tasks when introducing a new aircraft type?
Predictive maintenance
We investigate how we can predict aircraft maintenance using Machine Learning models, to prevent operational disruptions and to proactively take measures.
At KLM Engineering & Maintenance (E&M), you will join the innovative and energetic E&M Big Data team, part of the larger E&M Engineering organization. You will work alongside a diverse group of Data Scientists, Data and Software Engineers, Business Analysts, Information Analysts, and more.
Our team develops products that support a wide range of users - including engineers, planners, technical specialists, and management - in their daily work. You will also become part of the KLM Data Science Community, connecting you with experts across the company.
Our offices are located in the Schiphol-East Technical Area, right at the heart of aircraft maintenance operations.
You are an enthusiastic and motivated Data Scientist, eager to further develop your skills. You are analytical, proactive and have a passion for solving complex problems. You also possess strong communication skills to explain your work to stakeholders. You have:
A university degree, preferably in a quantitative field such as Econometrics, Mathematics, or Data Science
Familiarity with Data Science tools and concepts (e.g. modeling, optimization, machine learning)
Programming experience, preferably with Python.
Experience in Data Science and especially Operations Research (including internships or relevant projects) is a plus.
Experience working in Scrum/Agile IT product development teams is a plus
Excellent command of the English language; proficiency in Dutch is a plus
A challenging role at an unique employer in the Netherlands;
A gross salary between 3.750,05 and 5.357,21 per month;
Plenty of room for personal development and wonderful career opportunities;
A good pension scheme and 8 holiday pay;
An end of the year bonus of 8,33;
25 days of paid holiday and 5 extra days off;
Great discounts on airline tickets (if you have been in service for at least 6 months);
A sustainable transport policy, which allows you, among other things, to use all public transport for your commute within the Netherlands, free of charge;
Discount of your health insurance;
A personal budget for sustainable employability.
Don’t wait any longer and apply for this function before the final boarding call on 12/10/2025! A motivation letter is no longer required; we will simply ask you a couple of questions during your online application. Within two weeks, you will receive a message from us. Your application procedure consists of two interviews and –possibly- an assessment and security research.Did you know that according to research, women are less likely to apply than men when they dont meet all the job requirements? What a shame. Because, in our view, the perfect candidate is a myth. So, if you have the drive to grow in aspects of this role, we look forward to your application. A file check (for ex-KLM-employees) and/or a reference check can be part of the application procedure. By applying for this vacancy you consent to these checks.
