Thomson Reuters is seeking a Lead Applied Scientist in Document Understanding to advance our legal, tax, and accounting AI platforms. You will design semantic chunking, enrichment, classification, and knowledge graph systems powering search, retrieval, and generative experiences across millions of documents.
You will mentor scientists, guide production deployments, and collaborate with product teams to shape technology strategy and roadmaps for the next generation of intelligent legal AI agents.
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Lead Document Intelligence Scientist in London employer: Thomson Reuters
Thomson Reuters is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead the development of cutting-edge AI solutions. With a strong commitment to work-life balance, comprehensive benefits, and a culture that prioritises inclusion and professional growth, employees can expect to make a meaningful impact while advancing their careers in a globally recognised organisation. The hybrid work model and opportunities for community engagement further enhance the appeal of working in London, a vibrant hub for technology and legal expertise.
