AI & Analytics Internship: Build Real AI Solutions

PassFort; Newark (NJ); On-site; USD 40,000 - 57,000; Full time

Job summary

Moody's is seeking an Applied AI & Analytics Summer Intern to work onsite in Newark, NJ. You will build AI solutions within Moody's data platform, including language models, AI tooling, and predictive models.

You will own an AI initiative from concept to measurable outcome and analyze operational data to set baselines for modelling. You will design AI solutions using large language models, retrieve augmentation, model evaluation, and agentic tooling, while applying responsible AI practices.

Qualifications

• Pursuing a degree in a quantitative field with expected graduation 2027–2028.
• Ability to work full-time during program dates (June 7 – August 13, 2027).
• Strong foundation in Python and ML libraries; familiarity with version control and Linux.

Responsibilities

• Build AI solutions within a data platform team, including LLMs and AI tooling.
• Drive an AI initiative from concept to measurable outcome during the internship.
• Gather, clean and analyze operational data to identify trends.
• Build and evaluate predictive models for runtimes, queues and capacity.
• Document model limitations and assess risks with responsible AI practices.
• Develop tested, logged and documented working solutions.
• Share findings with the team and engineering audience.

Skills

Python & ML libraries

Probability & statistics

Predictive modeling

Queueing & capacity analysis

LLMs & retrieval_augmented generation

APIs & cloud platforms (AWS)

Independent problem solving

AI risk & ethics awareness

Education

Quantitative degree (CS/DS/Stats/Math/OR/Engineering)

Tools

Git

Linux CLI

AWS

Job description

Moody's is seeking an Applied AI & Analytics Summer Intern to work onsite in Newark, NJ. You will build AI solutions within Moody's data platform, including language models, AI tooling, and predictive models.

You will own an AI initiative from concept to measurable outcome and analyze operational data to set baselines for modelling. You will design AI solutions using large language models, retrieve augmentation, model evaluation, and agentic tooling, while applying responsible AI practices.