Data Scientist/Ontology Engineer, Fully Remote, £100,000 - £110,000 per annum

We are seeking an experienced Ontology Engineer to join our client's innovative team. The ideal candidate will possess a deep understanding of ontology development and management, with a focus on using OWLReady2 Python, Protégé, and various reasoners. This role involves designing, building, and testing ontologies to support the organization's objectives, improving data interoperability, and contributing to knowledge representation and reasoning projects.

Key Responsibilities

• Design and develop robust ontologies using OWLReady2 in Python, ensuring compatibility with existing data models and standards.
• Utilise Protégé for ontology modelling, editing, and visualization, ensuring a high level of accuracy and detail.
• Implement and configure reasoners (eg, Pellet, HermiT, Fact ) for logical inference, validation, and optimization of ontologies.
• Collaborate with cross-functional teams to understand domain-specific needs and integrate ontologies with various applications and systems.
• Conduct ontology testing and validation to ensure quality, consistency, and performance, utilizing both manual and automated testing methodologies.
• Stay updated with the latest developments in ontology engineering, including tools, best practices, and methodologies.
• Provide guidance and support on ontology use and development to team members and stakeholders.
• Document ontology design decisions, configurations, and modifications comprehensively for future reference and knowledge sharing.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Information Science, or a related field. A Master's degree or higher is preferred.
• Proven experience in ontology development using OWLReady2 and Protégé.
• Strong understanding of logic-based reasoning engines and their application in ontology testing and validation.
• Proficiency in Python programming, with a focus on data manipulation and analysis.
• Familiarity with semantic web technologies (RDF, SPARQL) and standards (OWL, SKOS).
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• Strong communication and documentation skills, with the ability to convey complex information clearly to both technical and non-technical audiences.

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