Let's begin! Data Management Summer Intern
About The Position
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, please apply! 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.
Requirements
- 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
- 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
- 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
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
