ZEISS

Working Student Data Analytics (f/m/x)

Oberkochen

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hirly's read of this role

Seniority: Internship
Country: DE
Work mode: On-site / unstated
First seen by hirly: 3 Oct 2026

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the posting

Enabler for smaller, more powerful, and more energy-efficient microchips

Working for tomorrow today.

Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.

Your Role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally. In this role, you will contribute to diagnostic and monitoring solutions for state-of-the-art lithography systems that form the basis of modern semiconductor manufacturing. Your responsibilities may include:

Contributing to the development and assessment of diagnostic and monitoring concepts for lithography systems, learning how to analyze complex technical systems in a structured way
Analyzing field data from installed systems and deriving insights from it
Supporting the creation of business cases to evaluate the costs and benefits of new solutions and enable well-founded decisions
Researching and identifying innovations that can be incorporated into our solutions
Preparing your results and presenting them to the project team

Your Profile

Ongoing studies in mechanical engineering, electrical engineering, physics, mechatronics, or a comparable field
Strong academic performance and interest in topics such as diagnostics, monitoring, AI, or data science
High motivation to familiarize yourself with new topics
Ideally, programming experience in Python or MATLAB
An independent, solution-oriented and communicative working style, and enjoyment of working in interdisciplinary teams

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).

Your ZEISS Recruiting Team:

Verena Hald

Original posting on ZEISS's site ↗

Listed on hirly, a job board. hirly is not the employer: ZEISS is hiring for this role.