FP&A Summer Intern - Data Science

YES CommunitiesDenver, CO
Onsite

About The Position

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 2025. 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.

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 2025.
  • 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.
  • Collaborate with data engineers, analysts, and team members to observe data workflows, contribute to solutions, and receive hands-on mentorship.

Benefits

  • Competitive salary
  • Comprehensive health benefits
  • Life, long and short-term disability insurance
  • 401(k) with company match
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