Senior Applied Scientist, Knowledge Graphs and ML
Thomson Reuters(1 month ago)
About this role
Senior Applied Scientist role within Thomson Reuters Labs focused on advancing knowledge-graph-driven and ML solutions for the company’s risk and fraud products (CLEAR suite). The position is based in London and combines research and applied engineering to explore knowledge representation, graph ML, NLP, and GenAI approaches that deliver real-world impact. The team experiments, builds, and delivers AI-powered capabilities for investigative and risk-decisioning products.
Required Skills
- Knowledge Graphs
- Ontology
- Semantic Web
- NLP
- Graph ML
- RAG
- GenAI
- Graph Algorithms
- Ontology Design
- Data Ingestion
+5 more
Qualifications
- PhD
- Master's Degree
About Thomson Reuters
tr.comThomson Reuters empowers professionals with cutting-edge technology solutions informed by industry-leading content and expertise.
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