Macroeconomic Data Science Intern

At Realty Income, The Monthly Dividend Company®, our internship program offers more than just work experience—it’s an opportunity to discover purpose, build meaningful connections, and unlock your professional potential.

Purpose. As an intern, you’ll contribute to the mission that drives everything we do: delivering dependable value to our shareholders, colleagues, and communities. You’ll work on impactful projects that align with our business strategy and support our purpose of doing the right thing, taking ownership, empowering each other, and giving more than we take.

Connection. Throughout the summer, you’ll collaborate with professionals across departments, gaining mentorship and insights from leaders who are passionate about your growth. You’ll join a community built on trust, inclusion, and teamwork—because we believe success is achieved together.

Opportunity. This 10-week program is designed to accelerate your learning and career exploration. You’ll gain hands-on experience in a publicly-traded, global real estate investment trust while developing the skills, confidence, and relationships that can shape your future.

Join us from June 17 to August 24, 2026, and experience what it means to build a meaningful career rooted in purpose, strengthened by connection, and driven by opportunity.

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.

What You Will Be Working On

• Machine Learning Model Development: 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.
• Macroeconomic Research & Analysis: 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.
• Sector Rotation & Market Intelligence: 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.
• Data Visualization & Reporting: Create interactive dashboards and comprehensive reports to communicate complex economic trends, model results, and actionable insights to both technical and non-technical stakeholders.
• Feature Engineering & Model Optimization: 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.
• Data Quality & Documentation: 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.
• Research & Innovation: 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.
  
  

What You Need To Be Successful

We are looking for a 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.

• Economic & Market Knowledge: Interest in or knowledge of macroeconomics, financial markets, and sector analysis (preferred but not required - willingness to learn is essential).
• Technical Programming Skills: Solid foundation and programming experience in Python, SQL, and experience with distributed computing frameworks like Spark.
• Machine Learning & Data Analysis: Practical experience with core ML and data libraries such as pandas, scikit-learn, and PySpark, along with statistical analysis and modeling techniques.
• Cloud Computing: Familiarity with cloud computing platforms such as Azure or AWS for data processing and model deployment.
• Analytical Thinking: Critical thinker with the ability to synthesize complex information from multiple sources and conceptualize data-driven solutions.
• Communication & Collaboration: Ability to foster strong, collaborative relationships and communicate effectively with both technical and business stakeholders.
• Team Dynamics: A team player who displays self-confidence, encourages collaboration, and contributes positively to team culture.
• Professional Standards: Demonstrated integrity and commitment to the highest ethical standards and personal values.
• Work Management: Self-motivation and initiative to organize and prioritize work in a fast-paced, dynamic environment.
  
  

This is a hybrid role with Monday - Thursday required in-office.

The hourly compensation for this role is in the range of $21.00 - $25.00. Hourly rate determined by the candidate's skills, experience, knowledge, education, and abilities.

Realty Income is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require accessibility support to submit your application or other reasonable accommodations to participate in the recruitment process, please contact talent@realtyincome.com, or call 800-375-6700. An employee will respond to your message to begin the interactive process. Please note that this phone number and email address are only for individuals seeking a disability accommodation when applying for a job.