How do I apply for the Applied Science Intern position at Thomson Reuters and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Applied Science Intern role?

This position is a full-time, structured as a hybrid role, with an expected duration of 6 months.

What educational background or degree level is required for the Applied Science Intern at Thomson Reuters?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does Thomson Reuters provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Applied Science Intern

Thomson Reuters

Found 2 months ago

Location

London, United Kingdom

Duration (Months)

6 Months

Time

Full-time

Work Mode

Hybrid

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master
PhD

Skills & Qualifications

Technical Skills

programming
machine learning
ML/NLP
Machine Learning
Natural Language Processing
Large Language Models
Python
DL/ML/NLP frameworks
GitHub
Amazon AWS
MS Azure
Google Cloud
data cleaning
data processing

Soft Skills

curious
open-minded
problem-solving
collaboration
communication skills
work collaboratively

Job Description

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.

Requirements

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 GitHub
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

AI & Machine Learning

Natural Language Processing (NLP)

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