Graduate Intern, Spatial Data Scientist

Cotality • Irvine, CA

1d • Hybrid

About The Position

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. As a trusted source for property intelligence, Cotality provides unmatched precision, depth, and insights across the entire real estate ecosystem. Our global team leverages scale, connectivity, and cutting-edge technology to drive the largest asset class in the world. Join us as we fuel a thriving global property ecosystem and build a more resilient society. THE OPPORTUNITY Graduate internships at Cotality are more than just a learning experience; they are the launchpad. This is a 10-week immersive summer program where you won't just observe; you will participate in the day-to-day work environment and tackle real-world technology projects and address property business challenges. Our Goal for You: This program is designed as a standalone, high-impact professional development experience, serving as a vital bridge between academia and the professional world. While we are committed to providing you with industry-leading skills, elite mentorship and valuable networking, please be aware that this is a fixed-term program that may or may not lead to a permanent role. Location: We are focused on providing a hybrid experience, working a few days a week in one of our office locations and the remainder being remote, throughout the 10 weeks. Our two largest employee centers are in Irvine, CA and Dallas, TX, with additional locations in San Diego, CA. Candidates should live within a commutable distance to these sites.

Requirements

• This program is specifically targeting Final-Year Students. Candidates should be currently enrolled in an accredited Bachelor’s or Master’s degree program with a graduation date of Spring 2026 or Winter 2026.
• Applicants must be authorized to work in the U.S. without the need for current or future visa sponsorship. We are unable to accommodate students on international visas (e.g., F-1, J-1, H-1B) at this time.
• Completion of at least three years of relevant coursework.
• A preferred minimum GPA of 3.0.
• Proficiency machine learning and spatial data science with experience in Python, Jupyter Notebooks and Cloud Computing (e.g., Google Cloud)
• Familiarity with supervised and unsupervised learning for geospatial data and understanding of geospatial algorithms and models.
• Must be familiar and willing to leverage AI-based toolsets for codebase maintenance along with using LLM’s for code design and development
• Demonstrated leadership through campus organizations, previous internships, or community involvement.
• Ability to learn Cotality’s proprietary products and flex to the work styles of a diverse, matrixed team.
• Solid problem-solving capabilities and the judgment to make data-driven decisions.
• Self-motivated, detail-oriented, and able to manage multiple priorities in a dynamic environment.

Responsibilities

• Support the design and development of geospatial algorithms and models as related to products in Location Intelligence and Hazard Risk Models.
• Assist in migration of legacy desktop-based workflows to cloud-native environments leveraging distributed computing and orchestration frameworks.
• On a day-to-day basis your science/technology stack will contain one of these – Python, BigQuery, PySpark, PostgreSQL and spatial statistics.
• Executive roundtable sessions, lunch and learns, product demos, technical workshops, and social networking events
• E.g., product development, pair-programming with senior developers, 1-on-1 sessions with subject matter experts and exposure to business side of product development.

Benefits

• Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

What This Job Offers

• Career Level: Intern