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Real Estate Data Science Internship Jobs (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at ...

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How much do real estate data science internship jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for real estate data science internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 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 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 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.
More about Real Estate Data Science Internship jobs
What cities are hiring for Real Estate Data Science Internship jobs? Cities with the most Real Estate Data Science Internship job openings:
What are the most commonly searched types of Real Estate Data Science jobs? The most popular types of Real Estate Data Science jobs are:
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Real Estate Data Science Internship jobs near you
Infographic showing various Real Estate Data Science Internship job openings in the United States as of July 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Real Estate Data Entry Operator

REMAX Hawaii

West Mifflin, PA • On-site

$26.81 - $29.97/hr

Other

Posted yesterday

Job description

Real Estate Data Entry Operator

In your role as a real estate data entry operator, you will play a crucial role in upkeep and updating our database. In order to maintain correct and current records, you will be responsible for accurately entering a variety of data. The ideal candidate for this role will have strong organizational skills, a sharp eye for detail, and the capacity to work independently in a remote setting. Pay: $26.81 - $29.97 per hour

Responsibilities

  • Update and add transactions, client information, and real estate data to the database.
  • Examine and amend data to make sure it is accurate and comprehensive.
  • Collaborate with your teammates to resolve any discrepancies found in the data.
  • Be mindful of privacy and abide by data security regulations.
  • Assist in creating reports and presentations using the data acquired.
  • Performing secretarial duties entails filing, monitoring office supplies, scanning, and printing as needed.

Qualifications

  • A high school certificate or its equivalent; a bachelor's degree is ideal but not necessary.
  • Solid background in data entry or a related field.
  • Strong command of the language and procedures used in real estate.
  • A strong command of computers, including the MS Office suite and data input programs.
  • Remarkable precision and attention to detail.
  • The capacity to operate autonomously with little guidance.
  • Outstanding organizing and time management skills.
  • Good communication abilities, particularly while working in a remote team.

REMAX Hawaii is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. All your information will be kept confidential according to EEO guidelines.

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