Summer Software Engineer — AI & Data

Moody's; New York (NY); On-site; USD 41,000 - 55,000; Full time

Benefits offered by this job

10-week internship program

Job summary

Moody's offers a 10-week summer internship for undergraduates to work on data and AI-powered applications using Java, Python, and SQL. You will collaborate to design, develop, and test software, build web-scraping scripts, and help optimize data pipelines in a collaborative Agile environment.

Participants gain mentorship, networking, and hands-on experience with Moody's data estate team, contributing to responsible AI practices while learning about real-world risk analytics and compliance.

Qualifications

• Pursuing a bachelor’s degree in Computer Science, Computer Engineering, Data Science, or related field.
• Graduation window: Dec 2027 – Jun 2029.
• Full-time availability during program: Jun 7 – Aug 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.
• Assist with automating and optimizing 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

Git

AI tools

Self-motivation

Communication

Web scraping

Data extraction

Unix/Linux

AWS

AI concepts

Education

Bachelors in CS/CE/DS

Graduation 2027–2029

Tools

GitHub

Job description

Moody's offers a 10-week summer internship for undergraduates to work on data and AI-powered applications using Java, Python, and SQL. You will collaborate to design, develop, and test software, build web-scraping scripts, and help optimize data pipelines in a collaborative Agile environment.

Participants gain mentorship, networking, and hands-on experience with Moody's data estate team, contributing to responsible AI practices while learning about real-world risk analytics and compliance.