FP&A Summer Intern - Data Science

Yes Communities • Denver, CO

2d • Onsite

About The Position

YES Communities, a privately held Real Estate Investment Trust (REIT) specializing in manufactured housing, is seeking a driven and intellectually curious intern for Summer 2026. This Data Science intern will join the Financial Planning & Analysis (FP&A) team to support critical finance initiatives. The role offers hands-on experience in a dynamic and fast-paced environment, providing exposure to real-world data science projects, programming tools, statistical techniques, and practical applications of data science.

Requirements

• 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.
• 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.

Nice To Haves

• Experience with Python or R a plus.

Responsibilities

• 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.
• Collaborate with data engineers, analysts, and team members to observe data workflows, contribute to solutions, and receive hands-on mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 1-10 employees