Senior Applied Scientist, Knowledge Graphs and ML

Refinitiv; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading data and analytics firm is seeking a Senior Applied Scientist in London to drive innovation using knowledge graphs and ML. This hybrid role involves designing experiments, managing knowledge graph developments, and collaborating with engineering teams. The ideal candidate should hold a PhD or comparable experience, possess hands-on expertise in NLP and ML, and have strong coding skills in Python. The company fosters a flexible work environment and offers competitive benefits, emphasizing work-life balance.

Benefits

Flexible vacation

Mental Health Days

Tuition reimbursement

Access to Headspace app

Qualifications

• 5+ years of hands-on industry experience in NLP, ML, or Knowledge Graph applications.
• Experience in knowledge graph design and construction for commercial use.
• Knowledge of modern NLP methods and experimentation with GenAI techniques.
• Solid coding skills in Python and experience with Git.

Responsibilities

• Design and execute experiments related to knowledge graphs and ML.
• Manage end-to-end knowledge graph experimentation and development.
• Collaborate with engineering for well-managed software delivery and ML Ops.
• Coach junior scientists in knowledge graph best practices and NLP.

Skills

Knowledge Graphs

Machine Learning

NLP

Graph Algorithms

Python

Cloud Technologies

Education

PhD in a relevant discipline or Master’s plus comparable research experience

Tools

Git

Job description

Job Description

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Senior Applied Scientist, Knowledge Graphs and ML

This hybrid position will be based in London. 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 including CLEAR, 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. You'll spend your time exploring uncharted territory—designing experiments, testing hypotheses, and discovering what’s possible when you combine knowledge graphs, graph algorithms, NLP, and GenAI in novel ways.

We’re 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

• Be a knowledge graph / ontology / semantic web and NLP expert. You’ll 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 AI—testing new algorithms, architectures, and techniques to see what delivers value.
• Own and manage end‑to‑end knowledge graph experimentation and development—from ontology design and data ingestion to graph algorithms and AI‑powered applications—guiding 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‑size 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

• PhD in a relevant discipline or Master’s 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‑ML—with 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 11th January 2026. Early applications are encouraged.

Hybrid Work Model

We’ve 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 tomorrow’s 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 programmes, and resources for mental, physical and financial wellbeing.

Culture

Globally recognised, 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.

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organisations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialised 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. 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, colour, 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. Learn more on how to protect yourself from fraudulent job postings. More information about Thomson Reuters can be found on Future‑ready careers. Our focus on a skills‑first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive.