Applied AI & Analytics Summer Intern

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

Job summary

Moody's in the United States invites students to join the 10-week Data Platform internship, working on AI tooling, language models, and predictive models within a collaborative team. You'll gather and analyze operational data, design models for job runtimes and queue wait times, and document results while gaining hands-on experience in responsible AI practices and cloud platforms such as AWS.

This paid, full-time internship runs June–August 2027 and offers mentorship, networking, and real

Qualifications

• Pursuing a quantitative degree with 2027–2028 graduation.
• Strong Python and ML libraries experience.
• Interest in queuing theory and capacity analysis.
• Experience with large language models/AI tooling.
• Familiar with cloud platforms like AWS.

Responsibilities

• Build AI solutions within a data platform team including LLMs and predictive models.
• Drive an AI initiative from concept to measurable outcome during internship.
• Design AI solutions using large language models and retrieval augmentation.
• Gather, clean and analyse operational data to identify trends and baselines.
• Develop and evaluate predictive models for runtimes, queue wait times and capacity requirements.

Skills

Python

ML/AI concepts

Statistics

SQL

Cloud (AWS)

Linux CLI

Problem solving

Communication

Education

CS/Data Science degree

Graduation 2027–2028

Tools

Git

APIs

RAG tooling

Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills And Competencies

• 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 utilisation
• Hands‑on experience with large language models, such as retrieval‑augmented generation, model evaluation or fine‑tuning, gained through coursework, research or projects
• Basic understanding of system design concepts, APIs and data flows, with exposure to cloud platforms such as Amazon Web Services preferred
• 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, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI‑powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

• Currently pursuing a degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Electrical or Computer Engineering, or a related quantitative discipline
• Graduation date of December 2027 – June 2028
• Ability to work full‑time during the program dates: 7 June – 13 August, 2027

Responsibilities

• Build innovative 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 through to a working and measurable outcome during the internship
• Design and build AI solutions using large language models, including retrieval‑augmented generation, model evaluation and agentic tooling
• Gather, clean and analyse operational data to identify trends and establish baselines for modelling
• 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

About The Team

Our Data Platform Team builds and operates the 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 modelling. By joining the team, you will contribute to solutions that improve how we build, operate and deliver our products, while developing experience in using AI effectively and responsibly.

Moody's 10-week summer internship program is a premier opportunity for students to immerse themselves in a hands‑on learning experience, guided by Moody's commitment to integrity, excellence, and insight. The program takes place each summer from June – August and positions are available for undergraduate and select graduate students. Internships are full‑time, offering a comprehensive view of Moody's business and culture, and a chance to build professional and technical skills. Programmatic elements include networking, mentorship, leadership speaker series and volunteering events. Interns complete project work determined by their team that have real impact, fostering a sense of accomplishment and professional growth. Throughout the internship, participants receive mentorship from Moody's professionals, gaining insights into diverse career paths and cultivate a comprehensive understanding of the company. Networking events and workshops further enrich the experience, providing a platform for professional development and collaboration. As a Moody's intern, you will gain real‑world experience, turn inputs into actions, and be integral part of the team.

For US‑based roles only: the anticipated hiring hourly wage for this position is $35/hr.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page.

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.