Apprentice

Introduction

Are you passionate about applying analytical methods and data science models to make a significant impact on both passengers and staff? Join our Digital Airport team as an intern in data analysis and data science and be part of our mission to enhance the digital experience for our passengers at the airport!

What are you going to do?

As an intern in the Digital Airport team, you will contribute to a variety of data-driven projects that support our global market objectives, with a strong focus on passenger satisfaction. Your responsibilities may include: 

• Conducting innovative analyses to gain insights into customer behavior and identify action opportunities. 

• Developing predictive models to assist ground staff in their operations at the airport. 

• Creating predictive models to monitor customer sentiment. 

• Designing interactive dashboards to generate actionable insights. 

Where do you land?

You will collaborate with a diverse and ambitious Digital Airport team, consisting of a product owner, business analysts, information analysts, an architect, and front-end and back-end developers. This product team is part of the Travel & Recovery plane within the joint Air France KLM (AFKL) Digital department. Our team is geographically distributed across the Netherlands and India. Together, we share a common goal of leveraging data to enhance the digital products and services for our passengers. We closely collaborate with the A2H team (internal app for ground staff), CRMPush team (for email, messaging, and notifications), Customer Experience, User Experience, and ground staff at the airport. We are based in the KLM Headquarters in Amstelveen. 

Your profile

We are seeking a hands-on, motivated, and ambitious team player who is eager to gain valuable work experience while pursuing their studies. Key qualifications include: 

• Currently pursuing a WO or HBO master’s degree in Data Science, Business Analytics, Computer Sciences, or a related field. 

• Demonstrated analytical mindset and experience in applying statistical models. 

• Proficiency in programming with knowledge of Python and SQL being highly advantageous. 

• Accurate, proactive, and independent work style. 

• Available to work 32-40 hours per week for a minimum of 4 months, preferably 6 months. 

As an intern in our team, you will thrive in a fast-paced, dynamic, and enjoyable work environment that fosters rapid learning and growth. We offer flexibility to work partially from home, obviously in consultation with the team. In addition to learning all about data, you will also gain insight into working

Competencies