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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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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

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)
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