Software Engineering 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, 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.

Skills and Competencies

Must Have

• Programming experience in Python, including the ability to apply it in data processing, scripting, and software development tasks
• Basic knowledge of Bash scripting for working in command-line and remote environments
• Self-motivated, proactive, and solutions-oriented, with the ability to take initiative and work independently
• Strong written and verbal communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Preferred

• Experience working in Linux environments
• Familiarity with version control systems such as Git, and API tools such as Postman, including API design and consumption
• Experience writing regression and integration tests to validate software behavior
• Knowledge of containerization and orchestration technologies, including Docker and Kubernetes, and continuous delivery tools such as GitHub Actions, Jenkins, or Azure Pipelines
• Familiarity with AI and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch, and experience with SQL or graph databases
• Experience with Databricks notebooks and pipelines for collaborative data engineering and analytics

Education

• Currently pursuing a degree in Statistics, Mathematics, Business Intelligence, Data Analytics, Data Science, Finance, Financial Engineering, Computer Engineering, Computer Science, or a related field

• Ideal graduation year: 2028

• Internship start date: March 2027

Responsibilities

The intern will gain hands-on exposure to the end-to-end stages of data science required to process and analyze real-time news for our global customer base.

• Support news ingestion, normalization, and data cleaning pipelines to ensure high-quality input for downstream analytics
• Explore news datasets to identify trends, patterns, and meaningful insights
• Assist with Named Entity Recognition and Entity Linking in news stories to improve content intelligence
• Contribute to news classification initiatives, including research and development of new categorization models
• Support the development of automated summarization and clustering solutions
• Derive insights by analyzing large volumes of news content using data science techniques
• Collaborate within an agile team environment, participating in sprint planning, standups, and retrospectives
• Maintain and update existing software components and document all changes thoroughly
• Support automated deployment and testing processes to maintain system reliability
• Assist with Docker and Kubernetes containerization and cluster management
• Build and maintain data notebooks and pipelines in Databricks for scalable data processing

About the Team

The Data Solutions division is the commercial data business of Moody's Analytics, bringing together a vast catalog of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world's most comprehensive database of public and private companies, and serve as the definitive source of ratings-related data for companies and securities rated by Moody's Investors Service. Our DS Media Solutions team focuses on harnessing the power of real-time news and unstructured data to surface insights that matter to our clients. We strive to deliver convenience and intelligence by eliminating the complexity of sourcing and processing data, and we are increasingly integrating AI and machine learning into our pipelines to accelerate that mission. By joining our team, you will become part of a mission-critical information resource trusted by decision-makers around the world.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

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.