Let's begin! Applied AI & Analytics Summer Intern

Moody's • Newark, NJ

1d

About The Position

The Applied AI & Analytics Summer Intern will join Moody’s Data Platform Team, which builds and operates data services, infrastructure, and tools that power Moody’s Insurance Solutions products. The team works across cloud infrastructure, data engineering, and applied AI, including large language models and predictive modeling. The intern will contribute to solutions that improve how the company builds, operates, and delivers its products while gaining experience using AI effectively and responsibly.

This is a full-time, 10-week summer internship running from June 7 through August 13, 2027. Interns work on meaningful team projects and receive mentorship, networking opportunities, workshops, and exposure to Moody’s business and culture. The program also includes leadership speaker series and volunteering events.

For US-based roles, the anticipated hiring wage is $35 per hour. Applications are accepted from November 6 through November 20.

Requirements

• Currently pursuing a degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Electrical or Computer Engineering, or a related quantitative discipline.
• Expected graduation date between December 2027 and June 2028.
• Ability to work full-time during the program dates of June 7 through August 13, 2027.
• Working knowledge of Python and common data and machine learning libraries, with familiarity using version control and Linux command-line tools.
• Good understanding of probability and statistics, including regression, distributions, variance, confidence intervals, and hypothesis testing.
• Experience building and evaluating predictive models through coursework, research, projects, or previous internship experience.
• Interest in queuing theory, scheduling, and capacity analysis, including wait times, throughput, and resource utilization.
• Hands-on experience with large language models, such as retrieval-augmented generation, model evaluation, or fine-tuning, gained through coursework, research, or projects.
• Self-motivated and curious, with the ability to take initiative, ask questions, solve problems independently, and communicate progress clearly.
• Demonstrated proficiency in artificial intelligence concepts and hands-on experience using AI tools to streamline workflows and enhance operational efficiency.
• Ability to implement AI-powered solutions to solve business challenges.
• Growing awareness of AI risk management and commitment to responsible and ethical AI use.

Nice To Haves

• Basic understanding of system design concepts, APIs, and data flows.
• Exposure to cloud platforms such as Amazon Web Services.

Responsibilities

• Build artificial intelligence solutions within a data platform team, including language models, AI tooling, and predictive models.
• Take ownership of an AI initiative and drive it to a working, measurable outcome during the internship.
• Design and build solutions using large language models, including retrieval-augmented generation, model evaluation, and agentic tooling.
• Gather, clean, and analyze operational data to identify trends and establish modeling baselines.
• Build and evaluate predictive models for job runtimes, queue wait times, and capacity requirements.
• Apply responsible AI practices by documenting model limitations, evaluating potential risks, and considering bias.
• Develop working solutions with appropriate testing, logging, monitoring, and documentation.
• Explore new AI techniques and share findings and project results with the team and wider engineering audience.
• Participate in program activities such as networking, mentorship, leadership speaker series, workshops, and volunteering events.

Benefits

• Full-time paid internship at an anticipated rate of $35 per hour for US-based roles.
• Mentorship from Moody’s professionals.
• Networking events and workshops.
• Leadership speaker series.
• Volunteering events.
• Hands-on project experience with real impact.
• Professional and technical skills development.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed