Ontology Expert (Bio and Chem domain)
Capgemini Engineering
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Role Summary
You will play the role of a semantic architect behind our AI‑powered Knowledge Graph supporting flavor and beverage innovation. This role is responsible for designing ontologies, SHACL validation frameworks, and YARRRML mapping rules that enable structured, high‑quality, machine‑interpretable R&D knowledge. Working closely with flavor scientists, product developers, data engineers, and AI teams, the Ontologist will translate complex scientific concepts into formal knowledge models, maintain consistent terminology and synonyms across domains, and ensure that all R&D data can be integrated, reasoned over, and leveraged for advanced discovery and formulation insights. This position is central to accelerating innovation, improving knowledge reuse, and enabling next‑generation intelligent tools for the R&D organization.
Key Responsibilities
Design, extend, and maintain ontologies covering ingredients, flavors, sensory attributes, formulations, human trials, regulatory concepts, and experimental processes.
Perform conceptual modeling with domain experts and translate concepts into formal RDF/OWL semantics.
Collaborate with data engineers to validate incoming data streams using SHACL rules and produce validation reports.
Work with data engineering teams to operationalize RML/YARRRML pipelines within ingestion workflows.
Support entity alignment, relationship modeling, and enrichment algorithms that drive flavor discovery.
Ensure synonym management is consistently reflected across ontologies, SHACL shapes, and mapping rules.
Facilitate terminology alignment workshops with subject matter experts.
Maintain high-quality documentation, competency questions, term definitions, and modeling rationales.
Required Qualification
Proven experience with RDF, RDFS, OWL, and SPARQL.
Hands-on work with ontology editors (e.g., Protégé, TopBraid Composer).
Strong understanding of SHACL, RML/YARRRML, or equivalent mapping frameworks.
Experience in semantic modeling and conceptual data design.
Experience in food science, chemistry, sensory science, or CPG R&D domains.
Preferred Qualifications
Degree in Knowledge Engineering, Information Science, Semantic Technologies, Computational Linguistics, or related fields.
Knowledge of industry ontologies or semantic standards (e.g., SKOS, SAREF, DOLCE, IOF).
Familiarity with graph databases (e.g., Neo4j, GraphDB, Stardog) and knowledge-graph architectures.
What You Will Love About Working Here
We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.The Gift from the Company - Christmas holidays from December 25 to December 31.Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Role Summary
You will play the role of a semantic architect behind our AI‑powered Knowledge Graph supporting flavor and beverage innovation. This role is responsible for designing ontologies, SHACL validation frameworks, and YARRRML mapping rules that enable structured, high‑quality, machine‑interpretable R&D knowledge. Working closely with flavor scientists, product developers, data engineers, and AI teams, the Ontologist will translate complex scientific concepts into formal knowledge models, maintain consistent terminology and synonyms across domains, and ensure that all R&D data can be integrated, reasoned over, and leveraged for advanced discovery and formulation insights. This position is central to accelerating innovation, improving knowledge reuse, and enabling next‑generation intelligent tools for the R&D organization.
Key Responsibilities
- Ontology Design & Semantic Modeling
Design, extend, and maintain ontologies covering ingredients, flavors, sensory attributes, formulations, human trials, regulatory concepts, and experimental processes.
Perform conceptual modeling with domain experts and translate concepts into formal RDF/OWL semantics.
- SHACL Constraint and Validation Framework
Collaborate with data engineers to validate incoming data streams using SHACL rules and produce validation reports.
- YARRRML & Semantic Mapping Design
Work with data engineering teams to operationalize RML/YARRRML pipelines within ingestion workflows.
- Knowledge Graph Integration & Reasoning
Support entity alignment, relationship modeling, and enrichment algorithms that drive flavor discovery.
- Synonym, Terminology & Vocabulary Management
Ensure synonym management is consistently reflected across ontologies, SHACL shapes, and mapping rules.
Facilitate terminology alignment workshops with subject matter experts.
- Governance, Versioning & Documentation
Maintain high-quality documentation, competency questions, term definitions, and modeling rationales.
Required Qualification
Proven experience with RDF, RDFS, OWL, and SPARQL.
Hands-on work with ontology editors (e.g., Protégé, TopBraid Composer).
Strong understanding of SHACL, RML/YARRRML, or equivalent mapping frameworks.
Experience in semantic modeling and conceptual data design.
Experience in food science, chemistry, sensory science, or CPG R&D domains.
Preferred Qualifications
Degree in Knowledge Engineering, Information Science, Semantic Technologies, Computational Linguistics, or related fields.
Knowledge of industry ontologies or semantic standards (e.g., SKOS, SAREF, DOLCE, IOF).
Familiarity with graph databases (e.g., Neo4j, GraphDB, Stardog) and knowledge-graph architectures.
What You Will Love About Working Here
We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.The Gift from the Company - Christmas holidays from December 25 to December 31.Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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