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Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)
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
- English – Business 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
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Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)
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
- English – Business 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
About the Company
Thomson Reuters
Industry
FinancialServices
Description
The company provides trusted content and technology for professionals in legal, tax, accounting, compliance, government, and media.
Not a perfect match?
- Thomson Reuters
Senior Applied Scientist, NLP/GenAI(m/w/x)
Full-timeWith HomeofficeSeniorZug - Thomson Reuters Enterprise Centre GmbH
Lead Applied Scientist, NLP/GenAI(m/w/x)
Full-timeWith HomeofficeSeniorZug - Thomson Reuters
Lead Applied Scientist I(m/w/x)
Full-timeWith HomeofficeSeniorZug - Thomson Reuters
Lead Applied Scientist - Legal Tech(m/w/x)
Full-timeWith HomeofficeSeniorZug - Thomson Reuters
Applied Scientist, NLP/GenAI(m/w/x)
Full-timeWith HomeofficeExperiencedZug