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THThomson Reuters

Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)

Zug
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Designing and managing knowledge graph experimentation for legal, tax, and compliance content. PhD or Master's with comparable research experience, deep NLP and GenAI knowledge needed. Work from anywhere for up to 8 weeks, plus two Mental Health Days off.

Requirements

  • PhD in a relevant discipline or Master's plus comparable research experience
  • Hands-on industry experience building NLP, ML, Knowledge Graph, or GenAI systems
  • Experience investigating knowledge graph design and construction
  • Deep knowledge of modern NLP methods and GenAI techniques
  • Experience writing production code and managing software delivery
  • Experience translating complex problems into successful AI applications
  • Outstanding communication, problem-solving, and analysis skills
  • Collaboration with Product, Engineering, and Business Stakeholders in an agile manner
  • Experience working with real-world, messy data in commercial contexts
  • Excellent coding skills in Python, proficiency with Git and cloud technologies

Tasks

  • Design and execute experiments to answer critical research questions
  • Explore graph ML, RAG architectures, and agentic AI
  • Test new algorithms and techniques for value delivery
  • Manage end-to-end knowledge graph experimentation and development
  • Guide research, data engineering, and evaluation efforts
  • Operate in an agile manner, focusing on quick iterations
  • Account for all research deliverables on small to medium-sized projects
  • Collaborate with stakeholders to define project scope and feasibility
  • Translate business objectives into technical requirements
  • Partner with Engineering for effective software delivery
  • Co-design ML Ops processes
  • Mentor junior scientists on knowledge graph best practices and NLP techniques

Work Experience

  • approx. 4 - 6 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Git
  • cloud technologies

Benefits

Flexible Working

  • Flexible hybrid working environment

Workation & Sabbatical

  • Work from anywhere for up to 8 weeks

Learning & Development

  • Continuous learning and skill development

More Vacation Days

  • Flexible vacation

Mental Health Support

  • Two company-wide Mental Health Days off
  • Access to the Headspace app
  • Resources for mental, physical, and financial wellbeing

Retirement Plans

  • Retirement savings

Additional Allowances

  • Tuition reimbursement

Bonuses & Incentives

  • Employee incentive programs

Social Impact

  • Two paid volunteer days off annually
  • Opportunities for pro-bono consulting projects

Sustainability Focus

  • Environmental, Social, and Governance initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Thomson Reuters and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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