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, and Nestlé is based in the Swiss town of Vevey where it was founded more than 150 years ago.

Job Responsibilities

• 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.
• Leading and strengthening 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.

Requirements

• Strong expertise in mathematical modelling, statistical learning, machine learning, causal inference, optimisation, predictive modelling and mechanistic modelling.
• Experience applying quantitative methods to complex health, nutrition, biological, clinical, microbiome, omics or experimental datasets.
• Proficiency in leveraging digital biology approaches to accelerate discovery and innovation.
• Excellent communication skills to collaborate across research, data science, clinical, nutrition, digital and experimental teams.
• Fluency in English.

Benefits

• Flexible working options, including hybrid work possibilities.
• Paid holidays beyond legal requirements.
• Learning and development opportunities to grow your career.
• Performance-based bonus and healthcare contribution.
• Strong employer contribution to your pension plan.
• Attractive employee discounts across various products and services.

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.