Applied Science Intern

Job Description Thomson Reuters Labs is seeking a curious and open-minded Applied Science Intern with a passion for machine learning and natural language processing. In this six-month internship, you'll join a diverse, interdisciplinary global team of specialists in Information Retrieval, NLP, Machine Learning, Engineering, and Design. You'll be part of Thomson Reuters' digital and AI transformation, contributing to real-world challenges and high-growth products across our core segments:
Legal, Tax & Accounting, Government, and Reuters News.

We experiment, we build, we deliver. You'll experience the entire model development lifecycle—from ideation through testing and deployment—while learning from world-class researchers and engineers. This is an opportunity to contribute to applied research and development that drives innovation and serves Thomson Reuters customers in new and exciting ways.

Internship Details: 6-month duration with flexible start date aligned with your availability.

Location:

London.

Key Responsibilities Participate in the full model development lifecycle, including building, testing, and delivering high-quality machine learning and NLP solutions that address real-world business challenges.

Collaborate with a cross-functional global team of machine learning engineers, NLP specialists, data scientists, and product teams, learning from and partnering with colleagues across multiple time zones and disciplines.

Innovate by experimenting with new approaches, learning emerging technologies, and contributing original ideas to solve complex problems in information retrieval, natural language understanding, and machine learning applications.

Required Qualifications Enrolled in or holding an MSc degree in Machine Learning, Natural Language Processing, Computer Science, or a closely related discipline, or currently pursuing a PhD in a relevant field

Understanding and hands-on experience with Natural Language Processing and/or Machine Learning methods, including exposure to Large Language Models Proficiency in Python and practical experience implementing solutions using deep learning, machine learning, and NLP frameworks and tools

Experience designing, creating, and evaluating experiments related to machine learning or large language models, with a data-driven problem-solving mindset

Strong communication skills and ability to collaborate effectively as part of a diverse, distributed team

Preferred Qualifications

Experience with code collaboration and versioning systems such as Git Hub Familiarity  with cloud platforms such as Amazon AWS, Microsoft Azure, or Google Cloud Experience working with unstructured datasets and knowledge of data cleaning, processing, and preparation techniques

Enthusiasm for staying current with state-of-the-art machine learning and NLP research and techniques

Curiosity, intellectual openness, and a genuine passion for problem-solving through applied AI and machine learning#LI-CH1

What’s in it For You?

Hybrid Work Model:
We’ve adopted a flexible hybrid working environment 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…