Data science jobs in Real Estate industry

Data Science in Real Estate

Real estate companies and proptech startups use data science for automated property valuation models (AVMs), investment opportunity scoring, rental yield forecasting, market trend analysis, and spatial analytics.

Common roles

Proptech data scientists, AVM model engineers, geospatial analysts, and real estate market intelligence data analysts are active roles across agencies, developers, and property investment platforms.

Key skills

Python, geospatial libraries (GeoPandas, PostGIS, Folium), gradient boosting for property valuation, time-series market forecasting, and experience with property data APIs and cadastral datasets are core.