Applied Science Intern

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

• Duration: 6-month duration with flexible start date aligned with your availability.

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 GitHub
• 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

What’s in It For You?

• Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office depending on the role).
• Flexibility & Work-Life Balance: Supportive workplace policies designed to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year.
• Career Development and Growth: Continuous learning and skill development opportunities through Grow My Way programming and a skills-first approach.
• Industry Competitive Benefits: Comprehensive benefit plans including 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 adherence to company values.
• Social Impact: Two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and ESG initiatives.
• Making a Real-World Impact: Contribute to a company that helps customers pursue justice, truth, and transparency, upholding the rule of law, turning the wheels of commerce, catching bad actors, reporting facts, and providing trusted, unbiased information.