Data Strategy Summer Intern

About The Team

The Data Strategy team evaluates data opportunities and develops data acquisition strategies across Moody’s Data Estate. You will support research, analysis, and the evaluation of internal and external data sources to enable product innovation and customer outcomes, while exploring responsible uses of artificial intelligence for data collection, extraction, and analysis.

About The Role

This is a 10-week summer internship program focused on data strategy. You will immerse yourself in a hands-on learning experience, guided by Moody's commitment to integrity, excellence, and insight. The program runs from June – August.

Key Responsibilities

• Support data strategy projects through research, analysis, and evaluation of internal and external data opportunities.
• Work under the guidance of Data Strategists to support research and analysis for defined projects across Moody’s Data Estate.
• Assist with designing and testing AI-driven approaches for data collection, extraction, and analysis.
• Review project results and data outputs to identify patterns and areas that require further investigation.
• Research data sources, market trends, and emerging data capabilities to support product needs.
• Support evaluations of external data providers and internal development options by organizing findings and assessing potential business value.
• Prepare summaries, presentations, and documentation that communicate findings, recommendations, and next steps.

Requirements & Tech Stack

• Interest in how data creates business value and how data sources can support product innovation and customer outcomes.
• Familiarity with data analysis tools, data platforms, and AI-enabled research tools including Claude Desktop and Claude Code.
• Working knowledge of Python and/or SQL for querying and analyzing large datasets.
• Familiarity with using LLM APIs is a plus.
• Strong interest in the evolving AI landscape, including new models, tools, and practical applications.
• Willingness to build awareness of responsible AI practices such as risk management and ethical use.
• Excellent written communication and presentation skills, with the ability to synthesize complex information into clear recommendations.
• Strong problem-solving skills, with the ability to break down business questions into options and recommendations.

Qualifications

• Currently pursuing a bachelor’s or master’s degree in Statistics, Data Analytics, Economics, Finance, Operations Research, or a related field requiring strong analytical reasoning, research, and written communication skills.
• Expected graduation date of Dec 2027 - June 2029.
• Ability to work full-time for the duration of the program from June 7 through August 13, 2027.