Skills and Competencies
- 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 or knowelge working with:
- Linux environments
- Writing regression and integration tests to validate software behavior
- API tools such as Postman and familiarity with API design and consumption
- Git or another version control system for collaborative software development
- Programming experience in C++ for performance-sensitive applications
- SQL for data querying and database interaction
- AI and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch
- Open-source or commercial graph databases
- Integration and continuous delivery tools such as GitHub Actions, Jenkins, or Azure Pipelines
- Knowledge of containerization and orchestration technologies, including Docker and Kubernetes
- Databricks notebooks and pipelines for collaborative data engineering and analytics
- 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
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
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.