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Real Estate Data Science Internship Jobs in Wisconsin

CORRE, Inc.

Real Estate Appraiser

Appleton, WI · On-site

$55K - $104K/yr

Research and analyze comparable sales, listings, leases, operating data, construction costs, and ... Current Wisconsin real estate appraiser credential in good standing. * Wisconsin Certified General ...

CORRE, Inc.

Real Estate Appraiser

Eau Claire, WI · On-site

Research and analyze comparable sales, listings, leases, operating data, construction costs, and ... Current Wisconsin real estate appraiser credential in good standing. * Wisconsin Certified General ...

CORRE, Inc.

Real Estate Appraiser

Waukesha, WI · On-site

Research and analyze comparable sales, listings, leases, operating data, construction costs, and ... Bachelor's degree in real estate, finance, economics, business, planning, engineering, or a related ...

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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 Wisconsin?

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

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

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

What job categories do people searching Real Estate Data Science Internship jobs in Wisconsin look for?

The top searched job categories for Real Estate Data Science Internship jobs in Wisconsin are:

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

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

Real Estate Data Science Internship jobs near you
Infographic showing various Real Estate Data Science Internship job openings in Wisconsin as of August 2026, with employment types broken down into 5% Internship, 72% Full Time, and 23% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.

Real Estate Analyst

Milwaukee, WI • On-site

Northwestern Mutual Life Insurance Company
Finance and Insurance • 5 - 10K employees

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

171st of 315 rated insurance

People enjoy working here

Good employer

Recommended by students

Learn more about Northwestern Mutual Life Insurance Companyexternal

Full-time

Posted 7 days ago

Job description

Northwestern Mutual Real Estate (NMRE) is responsible for leading the property investments of the Northwestern Mutual Life Insurance Company. We are one of the largest investors of commercial real estate in the U.S., with a diversified portfolio across many U.S. markets and major property types. The Analyst position is initially located in Milwaukee, Wisconsin with potential future opportunities located in Washington DC, Atlanta, Dallas, Newport Beach, and San Francisco.
Job duties include:
  • Providing financial modeling and analytical support to multiple functional units including underwriting, portfolio management, loan and equity production, asset management, and real estate services.
  • Preparing internal presentations and memoranda required for investment selection and approval.
  • Completing special projects for all functional areas within the real estate portfolio, including mortgage loans, property equities, and real estate fund investments.
  • Some travel will be required.

Bring Your Best! What this role needs. Minimum qualifications:
  • Completing a Bachelor's degree in Real Estate, Finance, Accounting or related field from an accredited college or university. Graduating in December 2026 or May 2027.
  • Cumulative grade point average of 3.3 of higher.
    • Previous work or classroom experience in one or more of the following: fundamentals of real estate valuation, finance, accounting, property-level due diligence, real estate law and construction.
    • Previous Real Estate internship and/or relevant project experience.
  • Strong interest in continuing education in the form of a Masters, MBA, JD, or other graduate degrees with an emphasis in business, analytics, real estate, and/or related topics.
  • Proficiency with Microsoft Excel; experience with Argus or other DCF modeling software a plus.
  • Employer immigration sponsorship is not available for this role.

Preferred skills and proficiencies
  • Effective oral and written communication skills.
  • Demonstrated analytical and problem-solving ability.
  • High degree of self-motivation, passion, and a drive to learn.
  • Ability to balance multiple priorities.

Compensation Range:
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed.
Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.
If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.
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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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