2027 Data Summer Intern

Starwood Capital Group•New York, NY

About The Position

The Data Summer Intern will join Starwood Capital’s Global Technology Data team, which plans, builds, and supports engineering and business applications. The intern will help design, build, and test data applications and automations used in real business workflows at a global real estate investment firm. Projects will cover asset management and acquisitions, including analytics, data pipelines, and process automation. The program emphasizes learning. Interns are paired with a mentor, receive regular coaching and code reviews, and take on more ownership as their skills develop. The role is intended for someone who is curious, exercises good judgment, and is willing to experiment and learn from setbacks; prior expertise in data science or data engineering is not expected. The intern will also learn to design, build, and test data pipelines and machine learning models in an enterprise setting; understand how technology supports investment and operations at a global real estate firm; apply professional software practices such as version control, code review, testing, and documentation; and translate business users’ needs into working solutions.

Requirements

  • Must be a 2028 college graduate.
  • Preferably majoring in Computer Science, Data Science, Engineering, Quantitative Finance, or a related field.
  • Proficiency in Python and SQL.
  • Strong interest in data and business automation, demonstrated through coursework, personal projects, hackathons, or self-directed learning.
  • Exceptional attention to detail and an analytical, problem-solving mindset.
  • Strong interpersonal, organizational, verbal, and written communication skills.
  • Comfort with ambiguity, receptiveness to feedback, and eagerness to learn quickly.

Nice To Haves

  • Full-stack software or data development experience.
  • Familiarity with SQL, APIs, cloud platforms, or Git.
  • Interest in real estate, finance, or investment management.

Responsibilities

  • Work with data engineers to build automated ingestion and transformation pipelines.
  • Collaborate with data scientists and analysts to deliver production-ready datasets for asset management and acquisitions use cases.
  • Connect internal data warehouses to internal data sources, APIs, and business applications.
  • Work with business stakeholders to understand workflows, identify automation opportunities, define requirements for new tools, and gather feedback on solutions.
  • Attend team and project meetings, participate in code and design reviews, and contribute ideas to project teams.
  • Learn and apply the firm’s standards for data security, governance, privacy, and responsible data use.
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