Senior Specialist Data Science

The Nestlé Group is the world's largest food and beverage company with billion Swiss Francs in sales in 2019. It is present in 187 countries around the world, has 403 factories and its 291'000 employees are committed to Nestlé's purpose of enhancing quality of life and contributing to a healthier future. Nestlé offers a wide portfolio of products and services for people and their pets throughout their lives. Its more than 2000 brands range from global icons like Nescafé or Nespresso to local favourites. Company performance is driven by its Nutrition, Health and Wellness strategy. Nestlé is based in the Swiss town of Vevey where it was founded more than 150 years ago. Learn more about our Group and reasons to join us on

Senior Specialist Data Science

Location: Vers-Chez-les-Blanc, Switzerland
Work model: Hybrid / Full time
Contract type / duration: Permanent

Shape the future through scientific breakthroughs and innovation.

As a Senior Specialist Applied Mathematics & Digital Biology at Nestlé Research, your mission is to apply advanced mathematical modelling, data science, scientific artificial intelligence and digital biology to transform complex health, nutrition, clinical and biological data into predictive, interpretable and experimentally actionable insights. You'll make a difference by collaborating closely with scientists, data scientists, computational biologists, clinical and translational researchers, nutrition experts, digital teams and external scientific or technology partners. This is your opportunity to turn ideas into sustainable and innovative solutions for people, pets, and the planet.

How you'll make an impact as a Senior Specialist Applied Mathematics & Digital Biology

• Leading applied mathematics and digital biology approaches that advance predictive, mechanism-based health and nutrition research.
• Developing advanced mathematical, statistical and computational models that strengthen scientific decision-making across research programs.
• Translating complex biological, clinical, nutritional, microbiome and omics data into clear insights that support discovery, validation and innovation.
• Building artificial intelligence-enabled analytical workflows that help project teams move from descriptive analysis to predictive and decision-ready science.
• Guiding cross-functional teams in using robust models, reproducible workflows and actionable recommendations to accelerate health-benefit innovation.
• Lead and strengthen future-ready digital biology capabilities through scalable models, workflows, scientific frameworks, and strategic partnerships that accelerate innovation and reinforce Nestlé's leadership in digital biology.

What will make you successful

• Bringing strong expertise in mathematical modelling, statistical learning, machine learning, causal inference, optimisation, predictive modelling and mechanistic modelling.
• Applying quantitative methods to complex health, nutrition, biological, clinical, microbiome, omics or experimental datasets.
• Leveraging digital biology approaches (including digital twins, virtual cells scientific, agentic AI and foundation models) to accelerate discovery and innovation
• Collaborating across research, data science, clinical, nutrition, digital and experimental teams while communicating complex models in a clear and engaging way.
• Communicating fluently in English.
• Bringing collaboration, fresh thinking, bold questions, respect, and a positive, wellbeing-oriented mindset.

Benefits

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

• Flexible working options, including hybrid work possibilities (for office based roles)
• Paid holidays beyond legal requirements
• Learning and development opportunities to grow your career
• Performance based bonus
• Healthcare contribution and access to the Employee Assistance Program
• Strong employer contribution to your pension plan
• Generous parental leave and comprehensive family support solutions
• 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 r j4id10321036a j4it0731a j4iy26a