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Nestlé Product Technology Center for Coffee in Orbe, Switzerland, is seeking an enthusiastic R&D Data Science Intern for a 6-month internship with hybrid work arrangements. You will collaborate across Nestlé research facilities, contribute to data-driven tooling, and gain mentorship to jump-start your career in AI, data science and coffee innovation.
You will help design research tools, build models, and deliver dashboards while being part of a global team.
Location: Orbe, Switzerland
Company: Nestlé Product Technology Center for Coffee
Work model: Hybrid
Contract type / duration: Internship - 6 months
Start date: February 2027, flexible
Activity rate: 100%
Be a force for good and transform your potential into something extraordinary
The Nestlé Product Technology Center for Coffee is a global center of expertise for coffee and beverage innovation. Our teams in Konolfingen, Orbe, Singapore and Marysville lead coffee and beverage research and development for Nestlé markets worldwide.
As a R&D Data Science Intern, you will contribute to innovative projects across various Nestlé research and development facilities. Collaborating with Nestlé experts, you will help design the research tools of the future, contributing to advancements in data science and technology. This is your opportunity to make an impact while gaining hands on experience and mentorship to kick-start your career.
At Nestlé, we place people at the heart of everything we do
Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:
We are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.
The hiring process typically includes an interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.