About this role
Data Science | Supply Chain Management internship: shipping lead time analysis Beschrijving Introduction The Customer Support Europe (CS Europe) organization is responsible for the installation, qualification, upgrade, repair, and maintenance of ASML systems at customer sites across Europe. The team also supports the transfer of knowledge to customers and plays an important role in maximizing system uptime. There are many factors that influence uptime. Besides technical parameters, supply chain lead times can have a significant impact. In this internship, you will analyse how different shipping strategies affect lead times, costs, and ultimately system uptime, helping the team identify opportunities for improvement. Your assignment As part of the CS Europe Operations Support team, you will perform a data-driven analysis of the impact of shipping strategies on system uptime. You will work with raw operational data and have the freedom to determine which analytical tools and methods best support your approach. The focus of this assignment is on generating insights and recommendations rather than creating standard reports. This assignment can also be adapted to fit a thesis project. Your main responsibilities will be: - Analyse the relationship between shipping lead times and system uptime - Evaluate the cost and operational impact of different shipping strategies - Extract, prepare, and analyse data to identify trends and improvement opportunities - Build dashboards and visualizations to support your analysis and recommendations - Explore opportunities to join field trips to customer or support locations across Europe to gain firsthand insight into supply chain and service operations This is a bachelor/master (thesis) internship for minimum 3 months, minimum 32 hours per week (4 days on-site). If your weekly availability is lower, the internship duration can be adjusted accordingly to ensure sufficient time to complete the ass...