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TH
Thomson Reuters
last mo.

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

Zug
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

In this role, you will drive innovation by designing experiments and exploring cutting-edge techniques in knowledge graphs and machine learning. Your work will directly impact the development of risk and fraud investigation software, ensuring that solutions meet both scientific and business needs.

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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

Education

Doctoral / PhD
OR
Master's degree

Work Experience

approx. 4 - 6 years

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

Tools & Technologies

PythonGitcloud technologies

Languages

EnglishBusiness Fluent

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
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