
Working Student -Digital Manufacturing & Data Analytics (all genders)
Auf einen Blick
Voraussetzungen
Studium: Informatik, Ingenieurwesen oder vergleichbar · Immatrikulation erforderlich
Sprachen: Englisch fließend (C1)
Arbeitszeit & Dauer
16–20 Std./Woche
Arbeitgeber
Merck Life Science · Chemie & Pharma · Hauptsitz in Darmstadt
Wir listen 4 offene Werkstudentenjobs und Praktika bei Merck Life Science, in Schnelldorf nur diese. Seit März 2026 haben wir dort 16 weitere gelistet, die inzwischen geschlossen sind. Alle Stellen von Merck Life Science
Skills laut Anzeige
JavaC++Data Quality ControlAI ToolsMachine LearningData VisualizationDashboardsPython
Stellenbeschreibung
Bewerbung vorbereiten Lebenslauf und Anschreiben passend zu dieser Stelle, kostenlos.
Beschreibung bereitgestellt von Merck Life Science
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
At our Schnelldorf site, around 500 employees are dedicated to ensuring the global availability of laboratory products and research supplies. As part of our site expansion, we are integrating logistics and manual filling – making Schnelldorf a key hub in the global life-science supply chain.For our team we are looking for you: an engaged digital geek who is interested in actively empower production with data and gaining deep insights into industrial digitalization. Join us in transforming complex production data into practical solutions that improve processes, enable smarter decisions and create lasting impact!
Your role
- Explore different AI based tools and technologies for data processing and visualization
- Develop and test data analysis flow for production data
- Build reporting dashboards, historical trends, etc. over visualization Apps and offer hyper-care for end-users
- Enhance lifecycle management for digital user cases, including data quality control, user access control, etc.
- Supplement documentation for verified data analysis workflow & prepare training materials
Your profile
- Registered student in Computer Science, Engineering, or a related field - master student preferred
- Enhanced Knowledge and experience with programming (Python, Java, C++, etc.)
- Familiarity with AI and machine learning concepts is a plus
- Strong analytical and problem-solving skills
- Openness and team spirit is our culture, also for you
- Fluent in English (C1), German is a plus
Start time is flexible, 16-20 h pro week is required.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Es gelten:20-Stunden-Regel140/280-Tage-RegelWerkstudentenprivilegBrutto-Netto-Rechner