5 beste Stellen als python in montreux vd – aktuell auf Personalsuche

Early-Life Nutrition & Growth Data Science Intern
Nestlé —Lausanne, VD
- Datenanalyse
- Englisch
- Praktikum
- Mitarbeiterrabatt
14 Tage
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- Englisch
- SQL
- Bachelor
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emploi.epfl.ch —Lausanne, VD
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- Englisch
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Early-Life Nutrition & Growth Data Science Intern

Nestlé -
Lausanne, VD

Jetzt bewerben

Details zur Stelle

Praktikum
vor 14 Tagen

Leistungen

Mitarbeiterrabatt
Unterkunft

Qualifikationen

R
Datenanalyse
Englisch
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Location: Lausanne, Switzerland
Work model: On-site
Contract type / duration: Internship – 6 months

Start date: September / October 2026

Be a force for good and transform your potential into something extraordinary.

As an Early-Life Nutrition & Growth Data Science Intern at Nestlé Research, your mission is to uncover how early-life nutrition influences children’s growth and long-term cardiometabolic health. You will make a difference by collaborating closely with scientists and research teams across the R&D organization. This is your opportunity to make an impact while gaining hands on experience and mentorship to kick-start your career.

How you’ll make an impact as an Early-Life Nutrition Data Science Intern

Analyzing data from internal datasets and external cohorts to generate evidence on how dietary nutrients shape healthy growth and development.
Reviewing scientific literature to identify the most relevant findings and strengthen the evidence base for the project.
Presenting clear, insight-led recommendations to research groups and department teams to support informed decision-making.
Delivering a well-structured report that translates complex scientific analysis into actionable project findings.
Generating practical recommendations that help turn research outcomes into meaningful business and health impact.

What will make you successful

Currently pursuing or freshly graduated from a degree in data science, biostatistics, human nutritional physiology, and biochemistry to explore complex questions in early-life nutrition.
Having good knowledge in data analysis, modelling, R and Python languages, and meta-analysis tools to turn data into meaningful insights.
Being curious about infant and child health and nutrition, with the ability to connect scientific evidence to real-world outcomes.
Using English fluently in both spoken and written communication.
Demonstrating courage, collaboration, speed and continuous learning.

At Nestlé Research, Nestlé Institute of Health Science, we place people at the heart of everything we do.

Our benefits are designed to support your growth and well-being, so you can thrive at work and in life:

Flexible working options, including hybrid work possibilities (for office-based roles)
Learning and development opportunities to grow your career
Healthcare contribution and access to the Employee Assistance Program
Attractive employee discounts across various products and services

What to expect from our hiring process

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 a video 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.

Ready to start your career journey with us?

Apply now and transform your potential into something extraordinary.

Jetzt bewerben

Erweiterte Suche

python Jobs in montreux vd

Early-Life Nutrition & Growth Data Science Intern

Senior Cloud Data Engineer

Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis

Electro-Optical Test Engineer (ID:2613)

Senior Design Engineer (ID: 2605)

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