Applied Scientist Intern
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 3, 2026. Thomson Reuters scores B on the Alion truth index.
Applied Scientist Intern
The dates for this internship are January 11, 2027-July 12, 2027.
Job Description
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.
Key Responsibilities
As an Applied Scientist Intern, you will:
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
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, TensorFlow, Scikit-learn, spaCy, LangChain, and HuggingFace.
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.
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!
Opportunities For Our Applied Science Interns:
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 TBs of legal, regulatory, news, and tax data.
Competitive Compensation: The opportunity to earn while learning new skills
What’s in it For You?
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 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 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.
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.
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 26,000 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.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at [email protected]. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com