AI & Innovation Intern- Summer 2027

R&R INVEST INC
West Des Moines, Iowa, United StatesPosted Sep 4, 2026
Summer 2027

About the role

About R&R Realty Group

At R&R Realty Group, we’re more than a real estate company—we’re a team of creators, problem solvers, and community builders. With decades of experience in commercial real estate, we pride ourselves on staying ahead of the curve. That’s why we’re investing in innovation and exploring the exciting potential of artificial intelligence (AI) to drive smarter, faster, and more personalized solutions for our teams and clients.

About the Role

We’re looking for a forward-thinking and tech-savvy AI & Innovation Intern to join our Innovation team this fall! This internship is a unique opportunity to explore real-world applications of AI in a corporate environment while gaining exposure to the commercial real estate industry.

You don’t need to be a coding expert—but curiosity, creativity, and a love of learning are a must!

What You’ll Do

  • Research emerging AI tools, platforms, and trends that could support our business functions
  • Help test and evaluate AI tools for tasks such as writing, data organization, image generation, process automation, and more
  • Assist with building simple workflows or prompts to streamline team processes
  • Collaborate with teams across departments to explore how AI could improve their day-to-day operations
  • Present findings and recommendations in a clear and engaging way
  • Support other innovation projects as needed

Nice to have

  • Major or coursework in mathematics, statistics, applied math or related quantitative fields.
  • Demonstrated proficiency with statistical inference, multivariable calculus or linear algebra.
  • Hands-on experience with at least one analytic software/language: Python, R, Databricks, Snowflake, Azure or MATLAB.
  • Ability to derive, interpret, and clearly explain regression and classification model outputs (e.g., coefficients, feature importance, error metrics).
  • Familiarity with key predictive modeling concepts (e.g., overfitting, cross-validation, regularization).
  • Comfortable

Similar internships