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Real Estate Ai And Analytics Internship

Keller Williams Realty - Level 5 Leadership

Real Estate Ai And Analytics Internship

Weston, FL
Internship
Paid
  • Responsibilities

    Applicants must reside or be within commuting distance of our office in Weston, FL to be considered for this position. We have an exciting summer internship opportunity available (June - August) at a fast-growing Real Estate Organization in South Florida! Level 5 leadership group is looking for a motivated AI and Analytics Intern to join our team. We specialize in residential and commercial real estate. This internship provides valuable experience and a chance to enhance your skills in a dynamic environment. Responsibilities: • Gather and clean real estate data from multiple sources including listings, market reports, and public records for analysis. • Conduct market research to identify trends, demographics, and insights that can inform real estate investment decisions. • Risk Assessment: Analyze factors affecting real estate risk such as location, economic indicators, and market volatility to assist in risk management strategies. • Collaborate on projects to optimize real estate portfolios through data-driven investment strategies and asset allocation. • Prepare reports and presentations summarizing findings from data analysis and model outputs for stakeholders including investors, developers, and property managers. Qualifications: • Enrollment in a Relevant Degree Program: Pursuing a degree in data science, statistics, real estate finance, or a related field with a focus on analytics and AI. • Strong Interest in Real Estate • Analytical Skills: Strong analytical skills with the ability to manipulate and analyze large datasets • Real Estate Knowledge: Basic understanding of real estate concepts such as property valuation, market analysis, and investment strategies. • Communication Skills: Effective communication skills to convey complex analytical findings to non-technical stakeholders. • Team Player: Ability to work collaboratively in a multidisciplinary team environment and contribute to the success of analytics projects in real estate.

    • Gather and clean real estate data from multiple sources including listings, market reports, and public records for analysis. • Conduct market research to identify trends, demographics, and insights that can inform real estate investment decisions. • Risk Assessment: Analyze factors affecting real estate risk such as location, economic indicators, and market volatility to assist in risk management strategies. • Collaborate on projects to optimize real estate portfolios through data-driven investment strategies and asset allocation. • Prepare reports and presentations summarizing findings from data analysis and model outputs for stakeholders including investors, developers, and property managers.