Data Science Intern

Role: Data Science Intern (Machine Learning)

As a Data Scientist Intern at Upstart, you’ll specialize in how ML models and products interact with the business. You’ll investigate potential problems and opportunities, run offline analyses, and present data-driven findings to the ML team.

Responsibilities

• Understand how ML models work and how they create business value
• Identify relevant data sources and conduct offline analyses using statistical methods
• Write clean, maintainable code for analysis (Python)
• Communicate insights clearly to both technical and non-technical audiences
• Collaborate with ML scientists and mentor(s) to align stakeholders and drive recommended next steps
• Perform self-directed investigation into Upstart’s data and products

Requirements (Minimum)

• Bachelor’s (or above) degree in Statistics, Mathematics, Economics, Finance, or a related quantitative field
• Must be on track to graduate by summer 2027
• Strong fundamentals in statistical, probability, and machine learning theory
• Ability to perform data analysis in Python and have basic SQL foundations
• Strong communication skills to explain findings to non-technical audiences
• Intellectual curiosity, humility, teamwork, and drive
• Ability to use modern agentic tooling efficiently (e.g., Claude Code, Codex)

Preferred Qualifications

• PhD in a quantitative field (Statistics, Mathematics, Economics, Finance, or related)
• Expert-level statistical methods including frequentist, Bayesian, and causal inference

Team / Domain

Machine Learning team focused on production models across underwriting/pricing, fraud detection, performance marketing, loan servicing, and fair lending/explainability.