Data Scientist

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 expertise in Operations Research, ML and AI? What will you do?

As an E&M Data Scientist, you will play a pivotal role in developing and industrializing advanced data-driven insights, and (optimization) models. You will advise the organization on the opportunities of Data Science and Operations Research. Together with our Agile/SCRUM Big Data Development team, you will deliver impactful data-driven products that optimize aircraft maintenance.

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 hire 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.

• Supply chain optimization

How should inventory be distributed across multiple warehouse locations to maximize service levels while minimizing costs and CO2 emissions? Where do you land?

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. Your profile

You are an enthusiastic and results-driven Data Scientist with hands-experience in applying Operations Research within production environments. You combine technical expertise with strong business understanding and communication skills, enabling you to solve complex problems and deliver tangible results., * A master’s degree in a quantitative field such as Econometrics, Data Science, Mathematics, or Computer Science.

• 2+ years of experience as a Data Scientist in innovative projects, preferably with experience in Operations Research, ideally in aviation or logistics.
• Excellent programming skills in Python with proven experience applying these skills in production environments.
• Experience in developing and implementing mathematical models, such as MILP and heuristics, using Data Science tools and packages (e.g. Gurobi).
• Strong stakeholder management and the ability to explain complex concepts to diverse audiences.
• Experience working in Scrum/Agile IT product development teams
• Excellent command of the English language; proficiency in Dutch or French is a plus

Competencies:

• Interpersonal sensitivity
• Working in a team
• Gathering information
• Initiative
• Problem analysis, Wo

• A gross salary between € 4.348,98 and €6.212,83 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.