Proactive Data Science Intern: Predictive Machine Analytics (Hybrid NL)

ASML; Netherlands; Hybrid; EUR 11.000 - 16.000; Teilzeit

Benefits dieser Stelle

Hybrid work arrangement

Internship allowance

Zusammenfassung

ASML in the Netherlands invites applications for a Data Science/Data Analytics internship in the DUV Global Support Center in Veldhoven. The role focuses on proactive analytics: identifying early signals in machine data, building predictive models, and delivering actionable insights to support proactive maintenance.

The internship runs for at least seven months with a mix of on-site and remote work, starting early February 2027.

Qualifikationen

• Pursuing a master’s degree or in final phase of a bachelor’s in data science, computer science, informatics, software engineering, or related field.
• Experience with Python and SQL.
• Strong analytical skills and ability to work with large datasets.
• Proactive, curious, and eager to learn in a technical environment.
• Clear English communication and collaboration with diverse teams.
• Non-thesis internship based in Veldhoven with hybrid work arrangement.

Aufgaben

• Analyze large datasets to identify trends, patterns, and early warning signals.
• Develop and improve predictive models using Python.
• Create data-driven insights to support proactive decision-making.
• Validate model performance and recommend improvements.
• Collaborate with engineers and data specialists to understand machine behavior.
• Present findings and recommendations to stakeholders.
• Contribute to additional data analysis or diagnostic improvement projects as applicable.

Kenntnisse

Analytical thinking

Proactive mindset

English communication

Team collaboration

Ausbildung

Master’s degree or final year in data science/CS/informatics/software engineering

Tools

Python

SQL

Jobbeschreibung

ASML in the Netherlands invites applications for a Data Science/Data Analytics internship in the DUV Global Support Center in Veldhoven. The role focuses on proactive analytics: identifying early signals in machine data, building predictive models, and delivering actionable insights to support proactive maintenance.

The internship runs for at least seven months with a mix of on-site and remote work, starting early February 2027.