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Real Estate Data Science Internship Jobs in Virginia

... real estate valuation. The Analyst works in close collaboration under a licensed senior appraiser ... data, performing market surveys, and confirming property transaction details. All job training and ...

Utilize Geocortex and other real estate tools for site analysis and data management * Maintain accurate records and ensure all documentation is properly tracked and updated Team Collaboration ...

Utilize Geocortex and other real estate tools for site analysis and data management * Maintain accurate records and ensure all documentation is properly tracked and updated Team Collaboration ...

Real Estate Agent

Richmond, VA · On-site

$80K - $150K/yr

We're seeking motivated, licensed real estate professionals in the Richmond, VA area who are ... We use data and coaching to keep our goals in sight and our feet on the ground. Most importantly ...

Real Estate Sales Manager

Fairfax, VA · On-site

$150 - $200/hr

... producers, thrives on data, and believes accountability is an act of leadership - not ... We are one of the fastest-growing real estate organizations in the country and are seeking an ...

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Real Estate Data Science Internship information

What is a real estate data science internship?

A Real Estate Data Science Internship is a temporary position where students or recent graduates work with real estate companies or related organizations to analyze property data, identify trends, and support business decisions using data-driven methods. Interns typically use tools like Python, R, and SQL to process and visualize data, and may work on projects involving market analysis, property valuation, or predictive modeling. This internship provides hands-on experience in applying data science techniques to real estate challenges, helping interns build valuable skills for future careers in both fields.

What types of projects or analyses do real estate data science interns typically work on during their internship?

As a Real Estate Data Science Intern, you may work on projects such as analyzing property market trends, building predictive models to estimate property values, or optimizing investment portfolios using large datasets. Daily responsibilities often include data cleaning, exploratory data analysis, and collaboration with real estate analysts and engineering teams. These experiences help interns develop practical skills and gain exposure to the intersection of data science and real estate, paving the way for future career growth in both fields.

What are the key skills and qualifications needed to thrive as a real estate data science intern, and why are they important?

To excel as a Real Estate Data Science Intern, you need a solid background in statistics, data analysis, and programming, often supported by coursework or a degree in data science, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience working with real estate datasets or geographic information systems (GIS), is highly valuable. Strong problem-solving, communication, and teamwork skills help you interpret data effectively and collaborate with stakeholders. These capabilities are crucial for delivering actionable insights that inform real estate investment, development, and strategy decisions.

What is the difference between Real Estate Data Science Internship vs Real Estate Data Analyst?

AspectReal Estate Data Science InternshipReal Estate Data Analyst
Required CredentialsCurrently pursuing or recently completed degree in data science, statistics, or related fieldBachelor's or master's in data analysis, statistics, or related field
Work EnvironmentInternship programs within real estate firms, tech companies, or consulting agenciesFull-time or part-time roles in real estate firms, property management companies, or investment firms
Employer & Industry UsageUsed for training, skill development, and entry-level exposure in real estate data projectsUsed for ongoing data analysis, reporting, and decision-making in real estate operations

The main difference is that a Real Estate Data Science Internship is an entry-level, temporary position focused on learning and supporting data science projects, while a Real Estate Data Analyst role is a full-time position involving ongoing data analysis and reporting. Internships are ideal for gaining experience, whereas analyst roles involve more responsibility and independence in analyzing real estate data.

What are the most commonly searched types of Real Estate Data Science jobs in Virginia?

The most popular types of Real Estate Data Science jobs in Virginia are:

What are popular job titles related to Real Estate Data Science Internship jobs in Virginia?

For Real Estate Data Science Internship jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Real Estate Data Science Internship jobs?

Cities in Virginia with the most Real Estate Data Science Internship job openings:

Commercial Real Estate Analyst

BBG, INC.

Richmond, VA • On-site

Full-time

Re-posted 27 days ago


Job description

Description:

This entry-level Analyst opportunity offers on-the-job learning and, an education on core professional skills for the practice of commercial real estate valuation. The Analyst works in close collaboration under a licensed senior appraiser to access proprietary databases and publicly available resources. This work output is used to produce appraisal reports or other valuation services for a wide variety of commercial real estate subject properties and entrusted by our clients. Analysts are responsible for managing their own caseload, seeing assignments through to completion which includes but is not limited to research and compiling key data, performing market surveys, and confirming property transaction details. All job training and necessary equipment and technology will be provided.


The Analyst position is defined by an independent, yet supportive environment in which the analyst will acquire skills in real estate finance, market analysis, and commercial investment analysis. The position involves a mixture of desk and field work, with new challenges and opportunities presented as the analyst builds a body of knowledge. Therefore, this position is best suited to an ambitious individual who enjoys problem solving and can focus on the details while never losing sight of the big picture. Further, the ideal candidate has strong research and analytical skills, and is an effective communicator. If you are a self-starter with a passion for real estate and a knack for analytics, please submit your qualifications to join our growing team.


Requirements:
  • Strong quantitative skills with experience building real estate valuation models
  • Excellent written, verbal, and interpersonal communication skills
  • Ability to be a collaborative team player
  • Ability to contribute to a positive culture
  • Good judgment
  • Self-starter, highly organized, and detail-oriented
  • Strong analytical aptitude
  • Must be proficient in MS Word and Excel
  • Reliable high-speed internet as projects may require work from home occasionally to meet assignment due dates
  • Argus Enterprise experience a plus
  • Web-based mapping tools.
  • Bachelor's degree in Finance, Real Estate or Economics or related discipline with 1 - 3 years of commercial real estate experience preferred
  • Position includes medical benefits, flexible scheduling, education assistance, and options for offsite fieldwork inspecting properties.

About Us:

BBG is the leading, independent valuation and environmental and property condition assessment services firm in the United States. BBG has more than 45+offices across the US and provides commercial valuation and assessment services with a deep understanding of real-estate finance, from acquisition to disposition. BBG provides equal employment opportunities. Discrimination of any type will not be tolerated. BBG is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other characteristic protected by state, federal, or local law.