Data Science Intern - Richmond, VA (Summer 2027)
Job Description
Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
Learn more about CoStar.
Role Description: As a Data Science Intern at CoStar Group, you will support our Research organization by applying data science, statistical analysis, and analytical problem-solving techniques to large-scale commercial real estate datasets. This 10-week, project-based internship is designed for students who are comfortable working with data, interested in identifying patterns and trends, and eager to translate technical analysis into clear business insights.
In this role, you will work with experienced analysts, researchers, and data professionals to explore, clean, organize, and interpret data from multiple sources. You may contribute to projects related to data quality, forecasting, exploratory analysis, automation, predictive modeling, AI-enabled analysis, and insight generation. This internship is ideal for a student who enjoys solving complex problems, working with large datasets, and using analytical methods to answer business or research questions.
You will gain hands-on experience using tools such as Python and SQL while contributing to meaningful projects that support real business needs and help improve how data is used across the organization.
This position is located in our
Richmond, VA office and requires 5 days a week in office.
Key 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.
Basic Qualifications: - 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.
- Available to participate in the full 10-week summer internship program and commit to a 40-hour work week throughout the internship.
- 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.
Preferred Qualifications: - 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 Google Cloud Platform) 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.
What's in it for you? When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.
Base Compensation: $30 per hour
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
