Semantic Knowledge Engineer Intern

Nestlé SA; Vaud; On-site; CHF 17,000 - 23,000; Full time

Job summary

Join a cross-disciplinary team at the Institute of Food Safety and Analytical Sciences, developing reusable semantic foundations and POI tools while gaining hands-on experience in data science and knowledge representation.

Qualifications

• Student or recent graduate from a Bachelor or Master in CS, CE, DS, AI or related field.
• Strong Python and data-processing skills to develop structured reusable solutions.
• Familiarity with RDF, RDFS, OWL and SPARQL; knowledge graphs and ontology engineering.
• Interest in applying data science and knowledge engineering to chemical/food safety topics.
• Fluency in English (written & spoken).

Responsibilities

• Review state-of-the-art ontologies, vocabularies and knowledge graphs related to chemical contaminants and food safety.
• Evaluate reuse/extension/mapping of external semantic resources to internal data models and analytical needs.
• Identify gaps in existing knowledge models and propose improvements for data harmonisation.
• Develop proof-of-concept tools for ontology-driven use cases using programming and semantic web technologies.
• Document findings and present recommendations to support future knowledge management initiatives.

Skills

Python programming

Data processing

Semantic web (RDF/RDFS/OWL/SPARQL)

Knowledge graphs/Ontology engineering

Analytical problem solving

Communication skills

English fluency

Education

Bachelor or Master in CS/CE/DS/AI or related

Job description

Join a cross-disciplinary team at the Institute of Food Safety and Analytical Sciences, developing reusable semantic foundations and POI tools while gaining hands-on experience in data science and knowledge representation.