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From the employer's careers site First seen 26 Oct 2026

Lead Applied Scientist, Search - NLP/GenAI

Thomson Reuters Hybrid senior full-time

The employer hasn't listed a salary.

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Description

We are looking for a Lead Applied Scientist to join our team in either Zug, Switzerland or London, UK.

As a Lead Applied Scientist, you will lead the design, build, test, and deployment of end-to-end AI solutions for complex document understanding tasks in the legal domain. You will direct the execution of large-scale projects, including advanced semantic chunking models, document enrichment systems, and LLM-based knowledge graph construction pipelines.

Key responsibilities:

  • Lead the design, build, test, and deployment of end-to-end AI solutions for complex document understanding tasks in the legal domain
  • Direct the execution of large-scale projects, including advanced semantic chunking models, document enrichment systems, and LLM-based knowledge graph construction pipelines
  • Serve as the technical lead and primary point of reference, ensuring full accountability for all research deliverables
  • Partner with engineering to guarantee well-managed software delivery and reliability at scale across multiple product lines

Requirements:

  • PhD in Computer Science, AI, NLP, or a related field, or a Master's degree with equivalent research/industry experience
  • Demonstrable hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs, and NLP methods
  • Proven ability to translate complex document understanding problems into innovative AI applications that balance accuracy and efficiency
  • Demonstrated ability to provide technical leadership, mentor team members, and influence without formal authority in an applied research setting

Benefits:

  • Hybrid work model
  • Flexibility and work-life balance
  • Career development and growth opportunities
  • Industry-competitive benefits, including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing

Skills

Required

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