Senior Applied Scientist

Thomson Reuters Corp.; Eagan, Northern (MN, KY); Hybrid; USD 127,400 - 236,600; Full time

Benefits offered by this job

Flexible vacation

Mental Health Days off

Tuition reimbursement

Job summary

Refinitiv is seeking a Senior Applied Scientist to lead AI research projects that advance product innovation in legal intelligence and tax automation. Located in Eagan, Minnesota, this role requires a PhD or Master’s degree and 5+ years of hands-on ML experience.

The successful candidate will influence technical direction and mentor team members while developing novel methods for complex domains. A competitive benefits package and a hybrid work environment are offered.

Qualifications

• 5+ years of experience in production IR, NLP, ML, or GenAI systems.
• Experience leading AI projects in collaborative environments.
• Ability to influence technical direction.

Responsibilities

• Lead applied research projects driving product innovation.
• Translate business challenges into technical solutions.
• Mentor scientists and influence team direction.

Skills

Machine Learning

Natural Language Processing

AI Project Delivery

RAG Architectures

Strong Communication Skills

Education

PhD or Master's degree in Computer Science or related field

Tools

Machine Learning Frameworks

NLP Libraries

Job description

## Senior Applied ScientistApplyremote type: Hybridlocations: United States of America, Eagan, Minnesota: Canada, Toronto, Ontario: United States of America, New York, New York: United States of America, Ann Arbor, Michigan: United Kingdom, Londontime type: Full timeposted on: Posted 4 Days Agotime left to apply: End Date: September 18, 2026 (30+ days left to apply)job requisition id: JREQ198518Are you excited about working at the forefront of applied research in an industry setting? TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning.What does Thomson Reuters Labs do? We experiment, we build, we deliver. Our core mission is to innovate industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities.**About the Role**As a Senior Applied Scientist, you will lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You will translate business challenges into technical solutions, determine feasibility, and deliver scalable AI capabilities. This role includes mentoring scientists and influencing technical direction within your team, while starting to grow and scale your impact.**About You**You’re a fit for the role of Senior Applied Scientist if your background includes:* PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or related field* 5+ years of hands-on experience building and deploying production IR, NLP, ML, or GenAI systems using modern techniques* Demonstrated experience leading end-to-end AI project delivery in collaborative, cross-functional environments* Outstanding technical judgment and evaluation expertise* Excellent communication skills with ability to influence technical direction* Experience developing novel methods for complex professional domains such as medical, tax, or law.* Expertise in RAG architectures, agentic frameworks, tool-using systems, or orchestration patterns.* Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.#LI-MW1This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.**What’s in it For You?*** **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 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.Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD.For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD.Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.