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Senior Applied Scientist, Knowledge Graphs and ML
Senior Applied Scientist, Knowledge Graphs and MLThomson Reuters • Zug, Zug, Switzerland
Senior Applied Scientist, Knowledge Graphs and ML

Senior Applied Scientist, Knowledge Graphs and ML

Thomson Reuters • Zug, Zug, Switzerland
Vor 28 Tagen
Stellenbeschreibung

Senior Applied Scientist Knowledge Graphs and ML

This hybrid position will be based in Zug Switzerland.

Looking for a role where your technical knowledge will drive results and investigations across sectors such as law enforcement financial services child and family services and manufacturing Want to use your knowledge and experience of Knowledge Graphs to drive continual progress across our risk and fraud suite of products If so this might be the role for you.

Thomson Reuters Labs are seeking applied data scientists with experience of using knowledge graphs and ML to drive the capabilities of Thomson Reuters suite of products with a particular focus on those serving risk and fraud.

So what does Thomson Reuters Labs do We experiment we build we deliver. We support the organization and our customers through applied research in natural language processing and machine learning. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is responsible for designing the next generation of risk and fraud investigation software. We own AI innovation for Thomson Reuters core Risk and Fraud products includingCLEAR CLEAR Adverse Media and CLEAR Risk Inform.

Thomson Reuters CLEAR helps public and private sector organisations (from financial services firms to law enforcement child and family services to manufacturing) make confident decisions at pace analysing the connections of people and entities as part of their investigations.

As Senior Applied Scientist Knowledge Graphs and ML you will act as a researcher that drives innovation at the intersection of knowledge representation and modern AI. Youll spend your time exploring uncharted territorydesigning experiments testing hypotheses and discovering whats possible when you combine knowledge graphs graph algorithms NLP and GenAI in novel ways. Were looking for someone who thinks like a scientist but can use their experience of working with real-world data at scale - someone who knows which techniques from papers actually work in practice and can use this to design experiments that generate actionable insights not just interesting findings.

About the Role

As a Senior Applied Scientist you will :

Be a knowledge graph / ontology / semantic web and NLP expert. Youll design and execute experiments that answer critical research questions balancing scientific rigour with business impact.

Explore the frontier of graph ML RAG architectures and agentic AItesting new algorithms architectures and techniques to see what delivers value

Own and manage end-to-end knowledge graph experimentation and developmentfrom ontology design and data ingestion to graph algorithms and AI-powered applicationsguiding others in research data engineering and evaluation

Operate in an agile way pushing for quick iterations guided by customers needs

Be accountable for all research deliverables on small to medium-sized projects involving knowledge graphs and graph-based AI solutions

Work with stakeholders to define scope determine feasibility and translate business / customer objectives into technical requirements

Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes

Support and coach junior scientists by providing advice mentoring and training on knowledge graph best practices and NLP techniques

About You

Youre a fit for the role of Senior Applied Scientist if your background includes :

PhD in a relevant discipline or Masters plus a comparable level of research experience

Demonstrable hands-on industry experience (post-PhD) building NLP / ML / Knowledge Graph / GenAI systems for commercial applications

Experience investigating knowledge graph design and construction graph-based reasoning and graph-MLwith a practical understanding of what works at scale

Deep knowledge of modern NLP methods and active experimentation with GenAI techniques (RAG prompt engineering agentic frameworks)

Experience writing production code and ensuring well-managed software delivery

Demonstrable experience translating complex problems into successful AI applications

Outstanding communication problem-solving and analysis skills

Collaborating with Product Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback

Experience working with real-world messy data in commercial / industry contexts (not just clean benchmark datasets)

Excellent coding skills in Python proficiency with Git and cloud technologies

Please Note : Complete applications must be submitted by 23 : 59 (GMT) on Sunday 15th February 2026. Early applications are encouraged.

#LI-JB2

Whats in it For You

Hybrid Work Model : Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

Flexibility & Work-Life Balance : Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities whether caring for family giving back to the community or finding time to refresh and reset. This builds upon our flexible work arrangements including work from anywhere for up to 8 weeks per year empowering employees to achieve a better work-life balance.

Career Development and Growth : By fostering a culture of continuous learning and skill development we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow lead and thrive in an AI-enabled future.

Industry Competitive Benefits : We offer comprehensive benefit plans to include 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.

Culture : Globally recognized award-winning reputation for inclusion and belonging flexibility work-life balance and more. We live by our values : Obsess over our Customers Compete to Win Challenge (Y)our Thinking Act Fast / Learn Fast and Stronger Together.

Social Impact : Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental Social and Governance (ESG) initiatives.

Making a Real-World Impact : We are one of the few companies globally that helps its customers pursue justice truth and transparency. Together with the professionals and institutions we serve we help uphold the rule of law turn the wheels of commerce catch bad actors report the facts and provide trusted unbiased information to people all over the world.

DISCLAIMER

The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications required of employees assigned to this job.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal tax accounting compliance government and media. Our products combine highly specialized software and insights to empower professionals with the data intelligence and solutions needed to make informed decisions and to help institutions in their pursuit of justice truth and transparency. Reuters part of Thomson Reuters is a world leading provider of trusted journalism and news.

We are powered by the talents of 26000 employees across more than 70 countries where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity accuracy fairness and transparency are under attack we consider it our duty to pursue them. Sound exciting Join us and help shape the industries that move society forward.

As a global business we rely on the unique backgrounds perspectives and experiences of all employees to deliver on our business goals. To ensure we can do that we seek talented qualified employees in all our operations around the world regardless of race color sex / gender including pregnancy gender identity and expression national origin religion sexual orientation disability age marital status citizen status veteran status or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on

Required Experience :

Senior IC

Key Skills

Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry

Employment Type : Full-Time

Experience : years

Vacancy : 1

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Senior Applied Scientist Knowledge Graphs and ML • Zug, Zug, Switzerland

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