29 Apr 2026

Data Science | Industrial Engineering internship: supplier performance dashboards

ASML

Veldhoven

29 Apr 2026

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Internship focusing on designing supplier performance dashboards for ASML's ER&D Procurement organization. Requires creating data pipelines and translating stakeholder needs into insights. Suitable for bachelor or master students in data science, industrial engineering, or related fields.

HybridInternshipInternshipData PipelinesData Preparation

Data Science | Industrial Engineering internship: supplier performance dashboards

Apply

HybridInternshipInternshipData Pipelines

Salary

Not specified

Work Location

Veldhoven, North Brabant, Netherlands, NL

Work Model

Hybrid (2-3 days on-site in Veldhoven)

Employment Type

Part-time (fulltime 5 days per week, with 2-3 days on-site)

Experience Level

Internship

Contract Length

6 months

Core Qualifications

Technical (Must-have)

data pipelinesdata preparationdashboard developmentPowerBI

Soft Skills

analyticalcritical thinkingcollaborativeproactiveproblem solvingcommunication

Tools (Must-have)

PowerBI

Key Responsibilities

•Design and improve dashboards that visualize supplier performance using qualitative and quantitative data
•Develop and improve data pipelines that connect survey-based and system-based data sources
•Translate business requirements into clear data models and reporting structures
•Collaborate with stakeholders from different departments to align expectations and priorities
•Analyze data quality and validate outputs to ensure reliable insights
•Document data flows, dashboard logic, and user guidelines in a structured manner

internshipdata scienceindustrial engineeringsupplier performancedashboardsPowerBIASMLVeldhovenNetherlandssemiconductor

Key Responsibilities

•Design and improve dashboards that visualize supplier performance using qualitative and quantitative data

•Develop and improve data pipelines that connect survey-based and system-based data sources

•Translate business requirements into clear data models and reporting structures

•Collaborate with stakeholders from different departments to align expectations and priorities

•Analyze data quality and validate outputs to ensure reliable insights

•Document data flows, dashboard logic, and user guidelines in a structured manner