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Richmond, VA

Internship

Onsite

$30/hr - $30/hr

Intern

CoStar Group is hiring a Data Science Intern to support its Research organization by applying data science, statistical analysis, and analytical problem-solving to commercial real estate datasets. The intern will help analyze data, support modeling and data-quality projects, and communicate insights that address business and research questions.

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Responsibilities

Data Preparation and Analysis: Assist in collecting, cleaning, organizing, and analyzing large datasets related to commercial real estate markets
Exploratory Research: Use Python, SQL, and analytical methods to identify trends, patterns, anomalies, and relationships in data
Statistical Modeling and AI Support: Support projects involving statistical analysis, forecasting, predictive modeling, machine learning, or AI-enabled analysis to generate business or research insights
Data Quality and Process Improvement: Help identify data gaps, inconsistencies, or opportunities to improve data accuracy, repeatability, and efficiency
Visualization and Reporting: Create reports, dashboards, summaries, or presentations that communicate findings clearly to technical and non-technical audiences
Team Collaboration: Collaborate with Research, Product, Analytics, and other internal teams to understand business questions and contribute to data-driven solutions

Qualification

Required

Currently pursuing a bachelor's degree from an accredited, not-for-profit university or college in Data Science, Statistics, Computer Science, Mathematics, Computational Modeling, Data Analytics, Economics, or a comparable major
Must be planning to return to school following the completion of the Summer 2027 internship
Must have an expected graduation date of December 2027 - June 2028
Minimum 3.0 cumulative GPA
Academic, internship, project, or work experience using Python and SQL
Experience collecting, cleaning, organizing, and analyzing datasets
Coursework, project, or prior experience in statistics, data science, machine learning, artificial intelligence, forecasting, or related analytical methods
Coursework or project experience in model evaluation
Experience creating data visualizations, reports, dashboards, or presentations to communicate findings
currently eligible to work full-time in the United States
not able to provide visa sponsorship for this position

Preferred

Experience with Python libraries such as pandas, NumPy, scikit-learn, PyTorch, matplotlib, seaborn, or similar
Experience or interest in applying large language models (e.g. via APIs, prompt design, or simple retrieval/extraction workflows) to analytical or data quality problems
Exposure to a major cloud platform (AWS, Azure, or GCP) or to tools like Jupyter, Git, and Databricks
Experience with Power BI, Tableau or similar data visualization tools
Experience working with large, messy, or unstructured datasets
Interest or experience in commercial real estate, economics, finance, urban planning, market research, or related fields