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Lead Applied Scientist, Search - NLP/GenAI
Thomson Reuters
Switzerland Zug ZugPosted Oct 4, 2026 · 2d ago
Full-timeLeadHybridLegal Tech
About this role
Lead an applied science team focused on document understanding AI solutions for Thomson Reuters' legal, tax, and professional services products. You will design and deploy advanced NLP and ML systems for semantic chunking, document enrichment, and knowledge graph construction, directly impacting how legal professionals interact with complex documents.
What we are looking for
6- Design and deploy semantic chunking systems for legal, tax, and accounting documents
- Build document enrichment pipelines to identify metadata and document types
- Develop classification systems using standard and custom taxonomies
- Build LLM-based and traditional NLP information extraction pipelines
- Develop knowledge graph construction systems for large document collections
- Lead technical decisions on document analysis architectures and AI strategy