Semantic Knowledge Engineering Intern

Nestle SA; Lausanne; On-site; CHF 17,000 - 28,000; Full time

Benefits offered by this job

Learning and development opportunities

Healthcare contribution

Employee discounts

Job summary

Nestlé Research is seeking a Knowledge Engineering Intern to explore ontologies and knowledge models related to chemical contaminants in food safety. You will collaborate with domain scientists and data engineers to establish reusable semantic foundations for data harmonisation and interoperability.

The role combines research, development and scientific collaboration, with emphasis on semantic technologies and knowledge representation in a dynamic food-nutrition context.

Qualifications

• Bachelor or Master in CS/DS/AI or related field.
• Strong Python and data-processing skills.
• Familiarity with semantic web technologies (RDF, RDFS, OWL, SPARQL) and knowledge graphs.
• Interest in applying data science to food safety topics.
• Fluent in English, written and spoken.

Responsibilities

• Review ontologies, vocabularies and knowledge graphs related to chemical contaminants and food safety.
• Assess external semantic resources for mapping to internal data models and analyses.
• Identify gaps in knowledge models and propose improvements for data harmonisation.
• Develop proof-of-concept tools using semantic web technologies.
• Document findings and present evidence-based recommendations.

Skills

Python programming

Data processing

Knowledge graphs

Ontology engineering

RDF/OWL/SPARQL

Unix/Linux

English fluency

Education

Bachelor or Master in Computer Science / Computer Engineering / Data Science / AI

Tools

RDF/OWL/SPARQL

Job description

Nestlé Research is seeking a Knowledge Engineering Intern to explore ontologies and knowledge models related to chemical contaminants in food safety. You will collaborate with domain scientists and data engineers to establish reusable semantic foundations for data harmonisation and interoperability.

The role combines research, development and scientific collaboration, with emphasis on semantic technologies and knowledge representation in a dynamic food-nutrition context.