Applied Scientist Intern

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

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.

What does Thomson Reuters Labs do? 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.

As an Applied Scientist Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design, to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

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.

You are a fit for the Applied Scientist Intern role if your background includes some of the following:

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.

Are 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, Tensor Flow, Scikit-learn, spaCy, Lang Chain, and Hugging Face.

Are 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.

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!

Learning & Development:
On-the-job coaching & learning, as well as the opportunity to work with cutting-edge methods and technologies

Data and High-Impact Problems:
Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBsof legal, regulatory, news, and tax data.

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

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 commitment of empowering employees to achieve a better…