Analyst, Real Estate Data Science Co-Op

Bain Capital
Boston, Massachusetts, United StatesPosted Sep 10, 2026
Data Science / ML

About the role

TITLE: Analyst, Real Estate Data Science Co-Op LOCATION: Boston, MA

BAIN CAPITAL OVERVIEW

With approximately $185 billion of assets under management, Bain Capital is one of the world’s leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit & Capital Markets, and Real Assets. Today, our team includes 1,990+ employees in 24 offices on four continents. We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights. Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.

OVERVIEW

This position will work with the firm's Real Estate Investment Team and support the application of data science, statistics, and quantitative methods to real estate investment decisions. The co-op will work across the analytical lifecycle, including sourcing and structuring data, developing predictive and descriptive statistical models, building repeatable reporting and analytical tools, and performing portfolio and scenario analyses. Projects will range from longer-term model development to rapid, investment-driven analyses and will require close collaboration with in

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