Macroeconomic Data Science Intern

Realty Income Corporation•San Diego, CA

1d•Hybrid

About The Position

Realty Income is looking for a Macroeconomic Data Science Intern to join our in-house Predictive Analytics team for the summer of 2026. In this role, you will support the Predictive Analytics team in building machine learning models and conducting macroeconomic analysis to understand how economic events and sector rotations impact our business. This role combines technical data processing and model development with strategic economic research, offering exposure to both the technical and business intelligence aspects of data science in a dynamic market environment.

Requirements

Student who will be a rising Senior during the summer of 2026 pursuing a degree in Computer Science, Data Science, Economics, Finance, Statistics, Machine Learning, or related field.
Solid foundation and programming experience in Python, SQL, and experience with distributed computing frameworks like Spark.
Practical experience with core ML and data libraries such as pandas, scikit-learn, and PySpark, along with statistical analysis and modeling techniques.
Familiarity with cloud computing platforms such as Azure or AWS for data processing and model deployment.
Critical thinker with the ability to synthesize complex information from multiple sources and conceptualize data-driven solutions.
Ability to foster strong, collaborative relationships and communicate effectively with both technical and business stakeholders.
A team player who displays self-confidence, encourages collaboration, and contributes positively to team culture.
Demonstrated integrity and commitment to the highest ethical standards and personal values.
Self-motivation and initiative to organize and prioritize work in a fast-paced, dynamic environment.

Nice To Haves

Interest in or knowledge of macroeconomics, financial markets, and sector analysis (preferred but not required - willingness to learn is essential).

Responsibilities

Design, build, and validate predictive models using Python and ML frameworks, focusing on both traditional statistical models and advanced machine learning algorithms to forecast economic trends and their business impacts.
Conduct comprehensive analysis of macroeconomic indicators and their correlations with sector performance, tracking how policy changes, geopolitical events, and market cycles influence sector rotations and business outcomes.
Develop systematic approaches to monitor and analyze sector rotation patterns, identifying leading and lagging economic indicators that signal shifts in market dynamics and their potential impact on company performance and strategic positioning.
Create interactive dashboards and comprehensive reports to communicate complex economic trends, model results, and actionable insights to both technical and non-technical stakeholders.
Build reusable data features and model components that can be applied across different economic analysis projects, continuously monitoring model performance and implementing improvements to enhance predictive accuracy.
Ensure data integrity through robust validation processes, maintain comprehensive documentation of economic data sources, methodologies, and model assumptions to support reproducible research and compliance requirements.
Stay current with economic research, market trends, and emerging data science techniques, contributing to the development of new analytical approaches for understanding macro-business relationships.