Applied Science Intern

CAN002 Thomson Reuters Canada Ltd; Zug; On-site; CHF 13,000 - 23,000; Full time

Benefits offered by this job

Hybrid work model

Flexible start date

Mentorship by world-class researchers

Job summary

Thomson Reuters Labs is seeking a curious Applied Science Intern with a passion for machine learning and NLP. The six-month internship involves a full model development lifecycle and collaboration with a global team across multiple time zones.

You will learn from world-class researchers and engineers, contribute to applied R&D, and work on real-world challenges across core Thomson Reuters segments. Location is London with a flexible start date.

Qualifications

• Enrolled in or holding MSc/PhD in ML, NLP, CS or related field.
• Hands-on NLP/ML with exposure to LLMs.
• Proficiency in Python with DL/ML/NLP frameworks.

Responsibilities

• Participate in full model development lifecycle from ideation to deployment.
• Collaborate with cross-functional global teams across time zones.
• Experiment with new approaches and contribute ideas for information retrieval and NLP applications.

Skills

NLP

Python

Deep learning

Experiment design

Communication

Education

MSc in ML/NLP/CS or PhD in a relevant field

Tools

GitHub

TensorFlow/PyTorch

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 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

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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.

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 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.

DISCLAIMER The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

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.

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. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

More information on requesting an accommodation here.

More information about Thomson Reuters can be found on thomsonreuters.com

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