About the role#
As a Data Science Intern, you will support our Research organization by applying analytical problem-solving to large-scale commercial real estate datasets. This 10-week, project-based internship is designed for students who enjoy working with data, identifying patterns, and translating technical analysis into business insights. You will work alongside researchers and data professionals to explore and interpret data from multiple sources. You will contribute to projects involving data quality, forecasting, predictive modeling, and AI-enabled analysis.
What you'll do#
- Collect, clean, organize, and analyze large datasets related to commercial real estate markets.
- Use Python and SQL to identify trends, patterns, anomalies, and relationships in data.
- Support projects involving statistical analysis, forecasting, machine learning, or AI-enabled analysis.
- Identify data gaps and opportunities to improve data accuracy, repeatability, and efficiency.
- Create reports, dashboards, and presentations to communicate findings to technical and non-technical audiences.
- Collaborate with Research, Product, and Analytics teams to contribute to data-driven solutions.
What you'll need#
- Currently pursuing a bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Computational Modeling, Data Analytics, or Economics at an accredited, not-for-profit university.
- Expected graduation date between December 2027 and June 2028.
- Planning to return to school following the completion of the internship.
- Minimum 3.0 cumulative GPA.
- Academic, project, or work experience using Python and SQL, including libraries like pandas, NumPy, scikit-learn, PyTorch, matplotlib, or seaborn.
- Experience collecting, cleaning, and analyzing datasets, including large or unstructured data.
- Coursework or experience in statistics, machine learning, forecasting, and model evaluation.
- Experience creating data visualizations using tools such as Power BI or Tableau.
- Exposure to cloud platforms like AWS, Azure, or GCP, or tools such as Jupyter, Git, and Databricks.
- Interest in commercial real estate, finance, urban planning, or market research.
Location & details#
- Location: Richmond, Virginia.
- Modality: This is an on-site position requiring 5 days a week in the office.
- Term: Full 10-week summer internship program.
- Commitment: 40-hour work week.
- Compensation: $30 per hour.
- Eligibility: Must be eligible to work full-time in the United States. Visa sponsorship is not available for this position.
About CoStar Group
CoStar Group provides information, analytics, and online marketplaces for the commercial and residential real estate sectors. The company operates digital platforms including Apartments.com, LoopNet, and Homes.com. It also offers spatial data technology and hospitality benchmarking services. Based in Arlington, Virginia, the firm employs between 5,001 and 10,000 people.
How to get in at CoStar Group
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