Applied Scientist Intern

About the role

The dates for this internship are January 11, 2027-July 12, 2027.

Job Description

We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long-term research for the future.

Key Responsibilities

• Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.
• Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
• Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

Required Qualifications

• Be currently enrolled in a PhD program in a relevant discipline or a Master’s program with research experience.
• Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods, including Large Language Models.
• Have experience with model training, fine tuning, and evaluating experiments related to Machine Learning or Large Language Models.
• Be experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS).
• Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.
• Be comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
• Have good communication skills and the ability to work collaboratively as part of a team.

Preferred Qualifications

This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!

Pay

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.

Schedule

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.

Benefits

• Comprehensive benefit plans to include paid leave, 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.
• Flexible and supportive benefits and other wellbeing programs.

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.