Applied Science Intern
Core
6-month internship contributing to real-world challenges and high-growth products in Legal, Tax & Accounting, Government, and Reuters News via machine learning and NLP.
Role type
Applied Science Intern (Machine Learning/NLP)
Builds
High-quality machine learning and NLP solutions for Thomson Reuters core segments
Domain
Legal, Tax, Accounting, Government, News
Deliverable
production ML models
Required skills
Python, Deep Learning, Machine Learning, Natural Language Processing, Large Language Models, Experiment Design, Data Cleaning
Preferred skills
GitHub, Cloud Platforms (AWS/Azure/GCP), Unstructured Data Handling
Technologies
Python, Deep Learning Frameworks, AWS, Azure, Google Cloud
Responsibilities
Participate in the full model development lifecycle (ideation, testing, deployment); Collaborate with cross-functional global teams; Innovate by experimenting with new approaches and emerging technologies
Seniority
Intern
