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INTERNSHIP DETAILS

Knowledge Engineering Intern

CompanyNestle Operational Services Worldwide SA

LocationLausanne

Work ModeOn Site

PostedNovember 3, 2026

Internship Information

Core Responsibilities

The intern will assess and develop ontologies, vocabularies, and knowledge models related to chemical contaminants and food safety. They will collaborate with domain scientists to improve data harmonization, interoperability, and knowledge management through semantic technologies.

Internship Type

full time

Company Size

260571

Visa Sponsorship

Language

English

Working Hours

40 hours

Apply Now →

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About The Company

As the world’s largest food and beverage company we are driven by a simple aim: unlocking the power of food to enhance quality of life for everyone, today and for generations to come. To deliver on this, we serve with passion, with a spirit of excellence, offering products and services for all stages of life, every moment of the day, helping people care for themselves and their families. Our culture is based on our values rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for the future. We can trace our origin back to 1866, when the first European condensed milk factory was opened in Cham, Switzerland, by the Anglo-Swiss Condensed Milk Company. One year later, Henri Nestlé, a trained pharmacist, launched one of the world’s first prepared infant cereals ‘Farine lactée’ in Vevey, Switzerland. Today, we employ around 273,000 people and have factories or operations in almost every country in the world. With our headquarters still based in the Swiss town of Vevey, we had sales of CHF 84.3 billion in 2020. Our portfolio covers almost every food and beverage category – offering products and services for all stages of life, every moment of the day, helping people care for themselves and their families. House rules: https://nes.tl/HouseRules

About the Role

Location: Lausanne, Switzerland
Contract type / duration: Internship – 6 months
Activity rate: 100%

Start date: February / March 2027

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

As a Knowledge Engineering Intern at Nestlé Research, your mission will be to explore and assess ontologies, vocabularies and knowledge models related to chemical contaminants, with a particular focus on food safety.

You will join the Institute of Food Safety and Analytical Sciences and work at the intersection of data science, knowledge representation and domain modelling. By collaborating with domain scientists and computational specialists, you will help establish reusable semantic foundations that improve data harmonisation, interoperability and knowledge management.

This internship offers an opportunity to combine research, technical development and scientific collaboration while gaining practical experience with semantic technologies and their application to chemical and food safety data.

How you’ll make an impact as a Knowledge Engineering Intern

Review state-of-the-art ontologies, vocabularies and knowledge graphs related to chemical contaminants and food safety, and assess relevant publicly available standards and semantic frameworks
Evaluate how external semantic resources can be reused, extended or mapped to internal data models, business concepts and analytical needs
Identify gaps in existing knowledge models by collaborating with domain scientists and propose approaches to improve data harmonisation and interoperability
Develop proof-of-concept tools for selected ontology-driven use cases using appropriate programming and semantic web technologies
Document your findings and present clear, evidence-based recommendations on how semantic resources could support future knowledge management initiatives

What will make you successful

Student or recent graduate from a Bachelor or Master degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or a related field
Strong Python programming and data-processing skills, with the ability to develop structured and reusable technical solutions
Familiarity with semantic web technologies such as RDF, RDFS, OWL and SPARQL, as well as knowledge graphs, ontology engineering, linked data or data modelling concepts is a strong plus
Interest in applying data science and knowledge engineering to chemical, food safety or food quality topics; experience working in Unix or Linux environments is an advantage
Strong analytical, problem-solving and communication skills, with curiosity, autonomy and a collaborative mindset
Fluency in English (written & spoken)

At Nestlé Research, we use science, technology and collaboration to address complex challenges and contribute to the development of safe, high-quality food and nutrition solutions.

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

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 accommodation 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 may close the role once a strong list of relevant candidates has been 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.

Key Skills

PythonData scienceKnowledge engineeringOntology engineeringRDFRDFSOWLSPARQLKnowledge graphsData modelingLinked dataFood safetyAnalytical skillsProblem-solvingCommunication skills