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Internship - Data Scientist - AI Solutions for Manufacturing (m/f/d)

Praktikum

Merck

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.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Start date: July 2026

duration: 6 months

Location: Aubonne, Switzerland

Your Role:

AI applications and performance board development

This position offers an exciting opportunity to work on two key initiatives that enhance our manufacturing processes. You will focus on developing AI-driven solutions to optimize operations and improve efficiency, as well as contributing to the development of a performance management board application aimed at streamlining performance management across teams .

Key Responsibilities:

AI Applications Development:
  • Design and develop AI applications, including intelligent agents and Gen AI chatbots, tailored for manufacturing processes.
  • Analyze production data to identify patterns and insights that inform AI model development.
  • Collaborate with cross-functional teams to integrate AI solutions into existing manufacturing systems.
  • Optimize machine learning models for performance and scalability in a production environment.

Performance Management Board Development:

  • Collaborate in the design and implementation of a performance management board application to streamline performance tracking and reporting.
  • Work with stakeholders to gather requirements and ensure the application meets the needs of the organization.
  • Analyze performance data to provide insights that drive improvements in team productivity and efficiency.
  • Communicate findings and recommendations to both technical and non-technical stakeholders.

Your profil:

  • Currently pursuing a master's degree in mathematics, Physics, Computer Science or a similar field willingness to learn about the healthcare industry
  • Strong programming skills in Python, R, or similar languages, with experience in AI frameworks (e.g., TensorFlow, PyTorch).
  • Familiarity with data manipulation and analysis techniques, including statistical methods and machine learning algorithms.
  • Software development experience (e.g., web/backend frameworks, APIs, CI/CD, containerization) is a plus.
  • Experience with AI application development and deployment in a manufacturing context is a plus.
  • Excellent analytical skills and the ability to work with complex datasets to extract meaningful insights.
  • Good communication skills and ability to present technical results to non-technical stakeholders.

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!
Die Stellenanzeige wurde vor Vor 26 Tagen veröffentlicht
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