Job Specifications
Realty Income aims to be a globally recognized leader in the S&P 100, committed to creating long-term value for all stakeholders. These stakeholders include our dedicated team members, who embody our purpose: building enduring relationships and brighter financial futures. This guiding principle serves as a beacon for our team, influencing every action we take.
Realty Income’s employees consistently invest their time, commitment, and dedication into the company, and in turn, they receive investment returns in the form of purpose, belonging, and opportunities for advancement.
Realty Income is committed to best-in-class corporate responsibility practices through environmental initiatives, governance programs, and community outreach projects. From the boardroom to the breakroom, our team members make a difference every day.
Join us from June 17 to August 21, 2026, and experience what it means to build a meaningful career rooted in purpose, strengthened by connection, and driven by 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.
Realty Income is looking for an Applied Machine Learning Intern to join our in-house Predictive Analytics team for the summer of 2026. In this role, you will join the Predictive Analytics team to support the development, validation, and optimization of machine learning models across the full data science lifecycle—from data preprocessing to deployment. This internship offers a unique opportunity to apply theoretical knowledge to real-world projects, gaining hands-on experience in the rapidly evolving field of machine learning and data science.
What You Will Be Working On
Contribute to building and refining industry-tailored ML models and extracting actionable insights that inform business decisions.
Collaborate in a modern analytics ecosystem, working with Databricks to engineer data pipelines, develop features, and train models using Spark and integrated MLflow tracking.
Analyze and interpret data by applying statistical and exploratory data analysis techniques to uncover insights, trends, and patterns that drive business decisions.
Research emerging AI platforms, large language models (LLMs) as well as other advanced technologies to help inform strategic decisions and advance Enterprise AI initiatives.
Develop predictive and prescriptive models by experimenting with supervised and unsupervised learning methods, validating performance, and communicating findings with actionable recommendations.
Visualize and communicate insights by creating clear, compelling dashboards and reports in tools such as Power BI, Tableau, or Plotly that inform key business metrics.
Contribute to data pipeline development by supporting data ingestion, transformation, and validation processes that ensure high data quality and consistency across projects.
Collaborate across disciplines by working closely with machine learning engineers, developers, and business stakeholders to translate analytical needs into production-ready models and dashboards.
Ensure code quality through Git version control and by creating unit and integration tests that maintain standards for reliability, traceability, and collaboration.
Support data access and governance by assisting in improving data documentation and maintaining compliance with internal data management practices.
Contribute to team initiatives by providing analytical and technical support on department-wide projects and prototypes.
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, Information Technology, Software Engineering, Machine Learning, or related field with a minimum GPA of 3.5 to join our Predictive Analytics and Insights team with a focus on building advanced analytics platforms.
Solid foundation and programming experience in Python, SQL, and Spark.
Practical experience with core ML and data libraries such as pandas, scikit-learn, and PySpark.
Experience using Git-based version control (GitHub or Azure DevOps).
Understanding of data structures, data modeling, and software architecture.
Familiarity with cloud computing platforms such as Azure or AWS.
Critical thinker with the ability to synthesize complex information and conceptualize solutions.
Ability to foster strong, collaborative relationships and communicate effectively at all levels.
A team player who displays self-confidence, encourages collaboration.
Demonstrated integrity and commitment to the highest ethical standards and personal values.
Self-motivation and initiative to organize and prioritize work.
This is a hybrid role with Tuesday, Wednesday, and Thursday required in-office.
The hourly compensation for this role is in the range of $21.00 - $25.00.
About the Company
Realty Income, The Monthly Dividend Company®, is an S&P 500 company and member of the S&P 500 Dividend Aristocrats® index. We invest in people and places to deliver dependable monthly dividends that increase over time. The company is structured as a real estate investment trust ("REIT"), and its monthly dividends are supported by the cash flow from over 15,450 real estate properties primarily owned under long-term net lease agreements with commercial clients. To date, the company has declared 645 consecutive monthly dividend...
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