Accountant

2026 Summer Internship, FP&A – Data Science

Denver, CO

Founded in 2008, YES Communities is a privately held Real Estate Investment Trust (REIT) specializing in manufactured housing. We are seeking a driven and intellectually curious intern with a passion for solving economic and housing-related problems to join our Financial Planning & Analysis (FP&A) team for Summer 2026. As a Data Science intern, you will play a key role in supporting critical finance initiatives while gaining hands-on experience in a dynamic and fast-paced environment. Over the course of the internship, you will collaborate with our team to gain exposure to real-world data science projects, experience with programming tools and statistical techniques, and learn about the practical applications of data science.

What You’ll Do

• Assist in cleaning, organizing, and preparing raw data by resolving errors and integrating multiple data sources.
• Support exploratory data analysis (EDA) by identifying trends, patterns, and distributions using basic statistical methods.
• Learn to build and evaluate introductory machine learning models (e.g., linear/logistic regression, decision trees, KNN, clustering, time-series), and understand model diagnostic metrics and modeling challenges.
• Help develop clear, effective visualizations using tools like ggplot and matplotlib.
• Proficiency in Excel and SQL; with the ability to write queries for data extraction, transformation, and analysis.
• Experience with Python or R a plus.
• Collaborate with data engineers, analysts, and team members to observe data workflows, contribute to solutions, and receive hands-on mentorship.

Qualifications

• Currently pursuing or recently completed a competitive program or degree in Data Analytics, Data Science, Computer Science, Statistics, or a related field.
• Ability to work full-time (40 hours per week) for a minimum of 10 weeks in our Denver office.
• Availability to start by June 2026.
• Proficiency in Excel and SQL; with the ability to write queries for data extraction, transformation, and analysis.
• Experience with Python or R a plus.
• Strong written and verbal communication skills with exceptional attention to detail.
• Excellent analytical and problem-solving skills, with the ability to interpret data and communicate insights.
• Self-starter with a demonstrated passion for learning, problem-solving, and applying new technologies.

This internship opportunity may also serve as a pathway to a full-time position within YES Communities.