Data Science R&D Intern — Hybrid (Coffee Tech)

Nestle

Orbe

Hybrid

CHF 20,000 - 26,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work options
Healthcare contribution
Employee discounts
Learning and development opportunities

Job summary

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.

Qualifications

  • Current student or recent graduate in Data Science, Computer Science or a related field.
  • Strong programming skills in Python or R and ability to build clear, maintainable solutions.
  • Knowledge of data science, machine learning, computer vision and cloud-based application development.

Responsibilities

  • Develop digital tools enabling researchers and product developers to work more effectively.
  • Build computer vision models that characterize products and extract information.
  • Create reliable data pipelines turning experimental data into usable insights.
  • Deliver automated reports and clear dashboards supporting evidence-based decisions.
  • Document reusable code and share solutions with colleagues across R&D teams.

Skills

Python
R
Data science
Computer vision
Cloud-based development
English

Education

Data science
Computer science

Tools

Jupyter
Git

Job description

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.

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