Data & AI Software Engineering Summer Intern

Moody; New York (NY); On-site; USD 40,000 - 57,000; Full time

Job summary

Moody's invites you to join its Data Estate division as a Software Engineering Summer Intern in New York for a 10-week program. You will build data- and AI-powered applications using Java, Python, and SQL, and contribute to web-scraping, data pipelines, and backend services.

You will collaborate with a team on generative AI projects, participate in agile ceremonies, and receive mentorship while gaining real-world experience in a global analytics leader.

Qualifications

• Pursuing a bachelor’s degree in CS/CE/Data Science or related field.
• Graduating between 2027 and 2029.
• Available for full-time internship from June 7 through August 13, 2027.

Responsibilities

• Support the development of data and AI-powered applications using Java, Python, and SQL.
• Collaborate to design, develop, and test software solutions using Java, Python, and SQL.
• Build and maintain web-scraping and data-extraction scripts.
• Automate and optimize data pipelines and backend services.
• Contribute to generative AI projects, including model integration and prompt engineering.
• Use version-control tools and participate in code reviews.
• Apply AI-assisted coding tools to support software development and testing.
• Participate in agile ceremonies and technical discussions.
• Document technical processes and share knowledge with the team.

Skills

Python

Java

SQL

GitHub

AI tools

Communication

Web scraping

Unix/Linux

AWS

Responsible AI

Education

Bachelor's degree in CS/CE/Data Science

Graduation 2027–2029

Full-time availability June–Aug 2027

Tools

none

Job description

Moody's invites you to join its Data Estate division as a Software Engineering Summer Intern in New York for a 10-week program. You will build data- and AI-powered applications using Java, Python, and SQL, and contribute to web-scraping, data pipelines, and backend services.

You will collaborate with a team on generative AI projects, participate in agile ceremonies, and receive mentorship while gaining real-world experience in a global analytics leader.