Castle Park Investments

Data Analytics & AI Intern / Analyst - Castle Park Investments

New York, USA (On-site)

Castle Park Investments is seeking a tech-driven analyst to join our data and technology team, reporting directly to Kutay Gozalan, VP of Data & Technology. This role is ideal for a current student, recent graduate, or early-career professional passionate about transforming real estate operations through data analytics and artificial intelligence. We are open to candidates at various stages—whether you're a senior undergraduate, a graduate student, or a recent graduate ready to hit the ground running. For current students, we're looking for someone with a manageable course load who can commit approximately 20 hours per week (with some flexibility). For those who perform well, this internship is designed to convert into a full-time position. You will play a pivotal role in enhancing our portfolio-wide KPI tracking, building machine learning pipelines, and leading the integration of AI tools to optimize processes across our 4,500+ unit portfolio spanning manufactured housing communities, RV resorts, and campgrounds in 9 states. Key Responsibilities: Create data collection pipelines from property management systems into our cloud-hosted storage environment Identify, pilot, and implement AI-powered tools to automate workflows in marketing, leasing, maintenance, and investor reporting. Be the internal champion for AI adoption across all departments Build internal business intelligence tools, including automated Excel reports using SQL queries and custom live dashboards deployed through AWS CloudFront, leveraging AI-assisted coding tools Deploy automated machine learning pipelines, supported by AI tools, to interpret and summarize data, surface trends, and enhance decision-making Partner with operations, acquisitions, and investor relations teams to translate data insights into actionable business decisions Requirements Qualifications: Current senior pursuing a Bachelor's degree, graduate student, or recent graduate in Data Science, Business Analytics, Computer Science or Engineering, or Software Engineering For current students: ability to commit approximately 20 hours per week (flexible based on course load and availability) Strong analytical and problem-solving skills Foundational experience with business intelligence tools such as Tableau, Power BI, Google Looker, or similar Strong SQL and Python skills, including experience with API integrations and data analytics libraries such as Pandas and NumPy Passion for AI and emerging technologies with a track record of self-driven learning and experimentation Strong communication skills—ability to translate complex technical concepts for non-technical stakeholders Self-starter mentality; thrives in fast-paced, entrepreneurial environments with minimal supervision Preferred Qualifications: Basic JavaScript knowledge and experience with front-end web development, ideally using Node.js Experience using AI tools such as Claude Code to build BI tools or other applications Familiarity with cloud computing, preferably on AWS Experience working in IDEs like Visual Studio Code Benefits Be part of a fast-growing real estate investment platform that is redefining attainable housing across the U.S Work hands-on with industry-leading AI and data-driven solutions applied directly to real estate ownership and operations Collaborative, entrepreneurial environment with a clear path to full-time employment Competitive compensation and benefits package