Data Scientist Level 3 in Amsterdam

• A gross salary between € 5,101.24 and € 7,287.48 gross per month;
• An excellent pension scheme;
• 8% holiday allowance;
• An end-of-year bonus of 8.33%;
• A profit-sharing scheme, up to 20%;
• 25 vacation days and 5 extra days off;
• Significant discount on flight tickets (if you have been employed for at least 6 months);
• A sustainable transport policy, including 100% free travel to work via Public Transport (within the Netherlands);
• Discount on your health insurance;
• A budget for sustainable employability.

Job type: Regular
Location: Schiphol Oost
Hours per week: 32-40
Education level: University
Apply by: 11-11-2026

More data is being generated within aircraft and maintenance operations than ever before. By applying advanced techniques from Operations Research, Machine Learning, and AI, we can transform this data into valuable insights that make aircraft maintenance even smarter and more efficient. As a leading player in Maintenance, Repair and Overhaul (MRO), Air France-KLM's maintenance division not only supports our own fleet, but we also provide maintenance services for aircraft, engines, and components to more than 150 customers worldwide. Are you ready to help build the future of aircraft maintenance with your expertise in Operations Research, ML, and AI?

As a Data Scientist within E&M, you play an important role in developing and industrializing advanced Data Science models and Operations Research models. You are a subject matter expert and advise the organization on the possibilities of Data Science and Operations Research. Together with our Agile/Scrum Big Data Development team, you will work on impactful data-driven products that optimize aircraft maintenance.

Examples of challenges we work on:

• Optimization of maintenance planning:
  We design and implement Operations Research models to optimize maintenance planning. Using Mixed Integer Linear Programming, we enable planners to determine the most effective timing and allocation of maintenance activities per aircraft, while carefully taking into account the impact on the total flight schedule.
• Optimization of maintenance decision-making:
  How many new mechanics should KLM E&M hire in the coming years to meet future maintenance needs? And what is the optimal way to group maintenance tasks when introducing a new aircraft type to our fleet?
• Predicting required manpower, materials, and delay risk:
  We deploy Machine Learning and GenAI models to predict maintenance findings before they impact operations. By making better estimates of required manpower, materials, and lead times, we aim to enable more efficient planning, reduce delays, and ensure that maintenance operations run more smoothly.

• If your position allows it: working from home and working from abroad for up to 8 weeks (EU and Caribbean region);

You are an enthusiastic and result-oriented Data Scientist with hands-on experience in applying Operations Research within production environments. You possess excellent analytical skills and know how to quickly identify the core of a problem. Additionally, you are a strong communicator and can clearly explain your work to stakeholders.

Competencies

• Innovation
• Critical thinking
• Problem analysis
• Professionalism
• Working in a team

Innovation

Critical thinking

Problem analysis

Professionalism

• A challenging role at a unique Dutch company;
• Plenty of room for personal development and great growth opportunities;

If you want to know more about the position, please contact the hiring manager. Call or email the recruiter for questions regarding the application procedure. In both cases, please remember to mention the vacancy number: #22876. At KLM, we believe in the power of diversity. Would you like to read more about this topic? View our statement.

Wouter Kalfsbeek: WOUTER.KALFSBEEK@TD.KLM.COM or

Marc van der Eijk: MARC-VAN-DER.EIJK@KLM.COM or +31 639680073

Details from this vacancy are not to be used for marketing purposes.