At Nestlé Nutrition, our mission is to nurture a Healthier Generation. We aim to achieve this by leading the way in Research and Development of science proven nutrition solutions and by partnering with parents and healthcare professionals around the world. From pre-conception to adulthood, we are widening our reach and opening up new opportunities across the lifelong nutrition journey.

Position Snapshot

Location: Konolfingen, Switzerland  

Company: Nestlé Product & Technology Center (NPTC) Nutrition 
Act. Rate: Full-Time Act. Rate 100%
Type of contract: Permanent contract

What we offer at Nestlé

Exciting opportunities to develop your career your way; across different brands, businesses, functions, and regions. 

Flexible working arrangements - facilitating creativity and collaboration 

A culture of respect, with diversity, equity and inclusion at its core. Learn more here. 

A dynamic international environment empowering you to learn, develop and grow. 

Don’t hesitate to connect with us during the recruitment process to learn more.

Position Summary 

As a Data Science Specialist, you will lead predictive modeling initiatives and translate complex data into actionable insights to support product innovation within the Nutrition Innovation Unit. You will collaborate with cross-functional teams (Scientists, Sensory Specialist, Product Developers, and others) to ensure robust data connectivity, high analytical standards, and full compliance with company frameworks.

A Day in the Life of a Data Science Specialist

• Lead the application of machine learning techniques (e.g., regression, classification, time-series forecasting) to solve complex business problems across domains such as product development and advanced analytics
• Own the preparation of complex datasets, including data cleaning, transformation, and structuring, to enable robust modeling and high‑quality analysis.
• Partner closely with domain experts and cross‑functional stakeholders to design, develop, and deliver impactful data science solutions aligned with business needs.
• Deploy and operationalize models in production environments, ensuring performance, reliability, and scalability, using platforms such as Azure ML, Databricks, and Snowflake.
• Monitor model performance and continuously optimize accuracy, robustness, and scalability over time.
• Translate analytical insights into clear visualizations and structured narratives, effectively communicating recommendations to both technical and non‑technical audiences.

What will make you successful

• Advanced degree (MSc or higher) in Data Science, Statistics, Computer Science, or a related field
• Extensive experience in data science within Life Sciences, Food, or Academia, applying agile development practices
• Proven track record in building and deploying predictive models in production
• Hands-on expertise with ML frameworks (TensorFlow, Keras, PyTorch, Scikit-learn) and statistical methods including Design of Experiments
• Familiarity with APIs (REST, JSON) and data visualization tools such as Power BI, PowerApps, and Streamlit
• Proficiency with cloud and data platforms including Azure, Databricks, Snowflake, and SQL databases.
• Ability to explain complex technical concepts to non-technical audience
• Strong collaboration skills, with experience working closely with cross-functional teams (scientists, sensory specialists, product developers)
• Highly autonomous and self‑driven, with strong problem‑solving capabilities
• Excellent communication skills in English

Nestlé is committed to the accessibility of its recruitment process. If you require an adaptation during the recruitment process, please do let us know so we can support you effectively. All information will be treated confidentially.

At Nestlé Research and Development in Konolfingen near Bern / Switzerland, we develop for Nestlé worldwide, new products, processes and packaging concepts for a broad range of products of our Nutrition, Dairy, Health Science and Coffee businesses. In addition, we also provide technical assistance to our factories.


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