Job Description

Senior Data Discovery and Enrichment Expert II

Do you enjoy being part of a global team that works with a diverse range of products and technology?

Do you enjoy mentoring other engineers, and helping them grow their careers?

About our Team:
Knowledge Innovation & Taxonomy Engineering (KITE) is the team within Elsevier Operations responsible for the taxonomies, vocabularies and knowledge graphs that sit beneath many of Elsevier’s products. In plain terms, a taxonomy is a structured, standardized, vocabulary of concepts, - such as diseases, drugs, materials or research topics — and the relationships between them. This shared structure is what lets our products tag content consistently, return relevant search results, connect related information, and feed reliable, well-grounded answers to AI features.
Main areas of work
• Taxonomy automation development — pipelines, scripts and tools that speed up taxonomy creation and editorial work.
• Platform development and support for CENtree, the shared taxonomy-management system used across all teams.




• Automated Curation and enrichment of taxonomies with semantic structure and relationships and their operationalization as reusable services.

About the Role:
We are looking for an individual to support our team in linking our existing taxonomies and ontologies in a meaningful way, applying linked data standards and best practices. The ideal candidate combines solid technical skills in semantic web technologies with a solid understanding of data modelling for knowledge organization systems.

Responsibilities:
· Design and implement methods for linking and aligning existing taxonomies and ontologies
· Model and maintain controlled vocabularies, taxonomies and ontologies using SKOS, SKOS-XL, and OWL
· Query and manipulate semantic data using SPARQL
· Integrate taxonomy/ontology data with other systems via REST APIs
· Write and maintain Python scripts/tools to support data modeling and integration workflows
· Co

📌 Senior Data Discovery and Enrichment Expert II (Bengaluru)
🏢 Elsevier
📍 Bengaluru