Product & Data Science Intern

Company: Bluebono LLC

Location: Pasadena, California — On-Site

Internship Type: Full-Time Internship

Duration: 8–12 Weeks

Schedule: Monday through Friday, 40 hours per week

Compensation: Unpaid; academic credit may be available subject to the requirements of the student’s educational institution

Bluebono is a private real estate lending company providing financing solutions to real estate investors and business-purpose borrowers.

Our work combines private credit, real estate finance, data analytics, model development, product design, and workflow automation. We are building internal tools and analytical products to improve how lending transactions are evaluated, managed, and executed.

The Product & Data Science Intern will participate in supervised projects involving data analysis, model development, AI applications, product design, and workflow automation.

The intern will also gain practical exposure to private lending and real estate finance, including property valuation, underwriting, loan structure, transaction workflows, and market analysis.

Prior experience in real estate or lending is not required. We are looking for candidates who are interested in finance, real estate, data science, machine learning, AI products, or technology-enabled business operations.

Depending on the intern’s background and assigned projects, responsibilities may include:

• Analyze property, market, lending, and operational data.
• Build, test, and improve analytical, financial, statistical, or machine learning models.
• Participate in the end-to-end development of internal products, from problem definition and requirements through testing and implementation.
• Translate business and lending workflows into product features, data structures, calculations, and system logic.
• Assist with property valuation, market analysis, underwriting, and private lending case studies.
• Develop dashboards, trackers, analytical tools, and standardized reporting workflows.
• Research and test AI applications involving document extraction, classification, financial analysis, property research, and workflow automation.
• Evaluate model and AI outputs for accuracy, reliability, limitations, and business usefulness.
• Identify data-quality, product, workflow, and usability issues.
• Document methodologies, requirements, testing results, and recommendations.
• Present findings through written reports, models, prototypes, dashboards, or presentations.

We welcome undergraduate and graduate students, as well as recent graduates, from backgrounds such as:

• Computer science
• Data science
• Statistics or applied mathematics
• Machine learning or artificial intelligence
• Finance or economics
• Real estate
• Business analytics
• Engineering
• Consulting or other analytical disciplines

Prior professional experience is not required.

Strong candidates will demonstrate:

• Genuine interest in finance, real estate, data science, machine learning, or AI product development.
• A proactive approach to researching problems and proposing solutions.
• Curiosity and willingness to learn unfamiliar business and technical concepts.
• Strong analytical and problem-solving skills.
• Attention to detail and comfort working with complex information.
• Ability to work independently while seeking guidance when appropriate.
• Ability to communicate findings clearly.
• Willingness to test assumptions, investigate unexpected results, and revise work based on feedback.
• Professional handling of confidential company and transaction information.

Experience with financial modeling, statistics, machine learning, large language models, product development, software development, or automation tools is helpful but not required.

Interns will develop practical knowledge of:

• End-to-end product development.
• Data preparation, model development, testing, and validation.
• Applications and limitations of AI and machine learning.
• Private real estate lending and loan lifecycle management.
• Property valuation, leverage, underwriting, and loan structure.
• Lending workflows involving origination, due diligence, closing, servicing, and asset management.
• Professional research, documentation, analysis, and presentation practices.

Projects may include:

• Developing or testing a property valuation model.
• Building a real estate market analytics model.
• Analyzing a sample private lending transaction.
• Designing or testing an internal lending product feature.
• Organizing and validating a structured dataset.
• Developing an internal dashboard or analytical tool.
• Mapping and improving a lending workflow.
• Building an AI or automation proof of concept.
• Testing document extraction or classification processes.
• Preparing a final project presentation with methodology, findings, and recommendations.

This is a full-time, on-site internship lasting approximately 8–12 weeks. Interns will receive structured supervision, instructional guidance, and periodic feedback.

Projects will be selected primarily for their educational and training value and may be adjusted based on the intern’s background, skills, and learning objectives.

Interns will not independently approve or decline loans, issue binding terms, make final credit decisions, provide legal or financial advice, or assume primary responsibility for active transactions.

High-performing interns may be considered for future internship opportunities or full-time employment based on performance, role availability, and business needs. For eligible full-time positions, Bluebono is open to providing OPT/H1B sponsorship.

Optional commuting assistance may be available.

Applicants seeking academic credit are responsible for confirming their school’s requirements. Bluebono will reasonably cooperate with applicable internship documentation and evaluation requirements.