Applied Scientist Intern
Remote / Online - Candidates ideally in
Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listed on 2026-03-12
Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for:
Refinitiv
Part Time, Apprenticeship/Internship, Remote/Work from Home
position Listed on 2026-03-12
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer -
Engineering
AI Engineer
Job Description & How to Apply Below
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** As an Applied Science 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.
The internship duration at Thomson Reuters Labs is typically six months with a flexible start date aligned with your availability.
*
* About The Role:
** As an Applied Science 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.
*
* About You:
** You are fit for the Applied Scientist Intern role if your background includes some of the following:
* Hold an MSc degree related to machine learning and NLP or be currently enrolled in a PhD program in a relevant discipline.
* Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Large Language Models.
* Have experience creating and evaluating experiments related to Machine Learning or Large Language Models.
* Have proficiency in implementing solutions using Python, DL/ML/NLP frameworks, and relevant tools.
* Have experience in using code collaboration and versioning systems such as Git Hub.
* Have familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
* Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
* Have a data-driven problem-solving and decision-making mindset.
* 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!
#LI-AB1
* ** 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…
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