Senior Data Discovery and Enrichment Expert II

Job Summary

Senior Data Discovery and Enrichment Expert II

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

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

About the Team

Global Operations team works with a focus on Generative AI, Machine Learning, Natural Language Processing, and Statistical techniques. It helps in building state of the art applications in customer experience, process innovation, content processing to drive efficiency across global operations in Elsevier. A Senior Data Scientist will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions.

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 strong 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 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
• Collaborate with the team to understand data needs and translate them into semantic data models

Requirements

• Extensive hands-on experience with SPARQL
• Advanced Python programming skills
• Experience working with REST APIs
• Good data modelling experience
• Experience with at least one taxonomy/ontology management tool (e.g., Centre, Synaptica, Top Braid, Prot g , or equivalent)
• Understanding of linked data standards and principles
• Familiarity with additional semantic web standards (RDF, RDFS, JSON-LD)
• Ability to understand and translate business/data needs into semantic modeling solutions

Nice to Have

• Experience with knowledge graphs
• Prior experience linking or aligning multiple taxonomies/ontologies at scale
• Experience using Git/GitHub
• Understanding of AWS (specifically Batch, Lambda, Athena, S3, ECR, RDS, SNS/SQS)
• Hands-on knowledge of automation, CI/CD a plus
• Background in Life Sciences or similar
• Experience with SHACL

Work in a way that works for you

We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.