Data Science Intern

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. If you are excited about this opportunity but do not meet every single requirement, you still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Applications for this position will be accepted from September 14th - September 28th. We encourage interested candidates to apply early to ensure full consideration. Skills and Competencies Interest in data management, data governance, data quality, digital transformation and generative AI Foundational experience through coursework, projects or extracurricular activities using data tools such as Excel, SQL, Access, Python, visualization tools or similar technologies Basic understanding of databases, data structures, data lineage or data governance concepts is helpful but not required Interest in learning approved AI tools and responsible AI practices to improve the quality, clarity and efficiency of deliverables Ability to work with structured and unstructured information, follow documented processes and pay close attention to detail Strong written and verbal communication skills, with the ability to explain findings clearly and ask effective questions Collaborative mindset, intellectual curiosity and willingness to learn in a cross-functional, Agile environment Ability to review AI-assisted outputs critically, verify accuracy and protect confidential or sensitive information in accordance with company requirements Education Currently pursuing an undergraduate or graduate degree in data management, information systems, computer science, business analytics, data science, statistics or a related field Graduation date of May 2028 - June 2029 Ability to work during program dates: June 7th - August 13th 2027 Responsibilities We are seeking a Data Management Intern to learn and contribute to data improvement and data readiness initiatives across the organization. Working with guidance from data managers and cross-functional partners, the intern will gain practical exposure to data taxonomies, data concepts, lineage, quality, governance and migration activities that support modern digital solutions. The internship will also provide hands-on learning in how well-prepared, trusted and accessible data supports AI-enabled workflows. The intern will learn to use approved AI tools responsibly to research, organize, summarize, validate and enhance work products, while applying human review and established data governance practices. The role supports initiatives that advance digitization and the responsible adoption of generative AI technologies across Ratings and Research activities. Assist with data readiness initiatives by helping to move data out of manual sources such as spreadsheets and into structured, accessible databases Support data readiness activities by helping inventory, organize, document, cleanse and validate data needed for digital and AI-enabled use cases Assist with reviewing data taxonomies and attributes for key workflow datasets, identifying inconsistencies and documenting potential improvements Help develop harmonized data requirements and definitions that improve data usability, consistency and quality Participate in documenting data concepts, common reference data, business rules and sound data usage practices with relevant partners Support the creation and maintenance of data lineage and source-to-target mappings under the guidance of data team members Assist with data quality checks, issue tracking and basic reporting on data readiness measures and observed process performance Contribute to data migration and rationalization activities, including comparing legacy content with modern data structures and documenting findings Learn how data governance, access controls and change-management practices help make data trusted and appropriate for AI use Use approved AI tools to enhance deliverables such as data documentation, summaries, requirements, presentations and analysis, with appropriate validation, source checking and human oversight Explore AI-assisted approaches for identifying patterns, gaps, duplicates or inconsistencies in structured and unstructured data, while following applicable policies and controls Work with technology, data, process and product partners in Agile teams to understand business needs and support incremental improvements Contribute to training materials, communications and rollout activities for data, technology and AI-related changes Bring curiosity, new ideas and thoughtful questions that challenge assumptions and improve how the team manages and uses data About the Team/Program The Ratings Data and Business Digitalization team drives data and process design and change management for scalable digitization across critical business initiatives, including workflows, analytics, Insights, and Content. The group works collectively with stakeholders in other lines of business, Product Management, User Experience designers, developers, control functions and others to document current-state processes, define requirements for improvement, identify and map required data elements, and lead simplification initiatives. The group operates in an Agile, product-centric model that delivers digital solutions and incremental improvements to processes, data and user tools. As part of Moody's Ratings (MR), the R&R Data Strategy team leads the design for Data Readiness that enable digital transformation and scalability across the organization globally. 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 View email address on click.appcast.io. 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. Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. #J-18808-Ljbffr