Product & Data Science Intern

About Bluebono

Bluebono is a private real estate lending firm located in Pasadena, California. The company specializes in providing financing solutions to real estate investors and borrowers with business purposes. Their operations integrate private credit, real estate finance, data analytics, model development, product design, and workflow automation to enhance how lending transactions are managed and executed.

Internship Overview

The Product & Data Science Intern will engage in supervised projects that include data analysis, model building, AI applications, product development, and automating workflows. The internship offers hands-on exposure to private lending and real estate finance, covering topics such as property valuation, underwriting, loan structuring, transaction processes, and market assessments. Prior experience in real estate or lending is not required. Candidates with interests in finance, real estate, data science, machine learning, AI product development, or tech-driven business roles are encouraged to apply.

Responsibilities

• Analyze diverse data related to properties, markets, lending, and operations.
• Create, test, and refine analytical, financial, statistical, or machine learning models.
• Contribute to the full lifecycle of internal product development including defining problems, setting requirements, testing, and implementation.
• Translate business and lending workflows into product features, data structures, and system logic.
• Support property valuation, market analysis, underwriting, and case studies in private lending.
• Develop dashboards, tracking tools, analytic instruments, and standardized reporting processes.
• Research and experiment with AI tools for document extraction, classification, financial analysis, property research, and workflow automation.
• Assess the accuracy, reliability, and limitations of model and AI outcomes for business relevance.
• Identify and report on data quality, product function, workflow, and usability challenges.
• Document methods, requirements, test results, and offer recommendations.
• Present insights through written reports, models, prototypes, dashboards, or oral presentations.

Candidate Profile

Applicants may be undergraduates, graduates, or recent graduates from disciplines such as computer science, data science, statistics, applied mathematics, machine learning, artificial intelligence, finance, economics, real estate, business analytics, engineering, consulting, or similar analytical fields. No prior professional experience is mandatory.

Ideal candidates will exhibit genuine enthusiasm for finance, real estate, data science, machine learning, and AI product development. They will demonstrate a proactive approach to problem-solving, curiosity to learn unfamiliar concepts, strong analytical and problem-solving capabilities, meticulous attention to detail, independent work ethic balanced with appropriate consultation, clear communication skills, openness to testing and revising work based on feedback, and professional handling of sensitive company and transaction data.

Educational Credit and Compensation

This is a full-time, onsite internship lasting between 8 to 12 weeks, Monday through Friday, 40 hours weekly. The internship is unpaid but may offer academic credit depending on the student’s educational institution requirements.

Learning Opportunities

• Comprehensive experience in product lifecycle management.
• Hands-on knowledge in data preparation, model creation, testing, and validation.
• Understanding the capabilities and constraints of AI and machine learning.
• Insights into private real estate lending and loan management processes.
• Exposure to property valuation, loan leverage, underwriting, and structuring methods.
• Familiarity with lending workflows including origination, due diligence, closing, servicing, and asset management.
• Professional standards for research, documentation, analysis, and presentations.

Potential Projects

• Build or assess property valuation models.
• Develop real estate market analytics tools.
• Analyze sample private lending transactions.
• Design or validate internal lending product features.
• Organize and verify structured datasets.
• Create internal dashboards or analysis tools.
• Map and enhance lending workflows.
• Prototype AI or automation solutions.
• Evaluate document extraction and classification AI systems.
• Prepare final project presentations detailing methodologies, findings, and recommendations.

Internship Details

This internship requires full-time, on-site participation spanning approximately 8 to 12 weeks. Guidance and regular feedback will be provided. Projects will be tailored mainly for training and educational purposes, adjusted as per intern capabilities and learning needs. Interns will not have decision-making authority on loans nor undertake legal, financial advisory, or final credit responsibilities.

Outstanding interns might be considered for future internships or full-time roles contingent on performance and business requirements. Eligible full-time offers may include visa sponsorship options. Commuting support might be available. Candidates seeking academic credit must coordinate with their institutions. Bluebono will assist with necessary internship documentation and evaluations as reasonably required.