Intern, Data Scientist, Risk Data Analytics at SoFi · San…

Summary: SoFi is a next-generation financial services company and national bank that is transforming personal finance through innovative technology. They are seeking a Data Scientist Intern for their Risk Data Analytics team, where the intern will manage an analytical project and contribute to the measurement and management of risk. The role involves working with large datasets, applying statistical methods, and presenting findings to leadership. Responsibilities: - Own an end-to-end analytical project from scoping through final leadership memo, with guidance from a senior mentor - Partner with stakeholders across Risk, Compliance, and the business lines to translate open-ended questions into structured analytical approaches - Explore large datasets using SQL and Python to identify patterns, anomalies, and statistical relationships - Apply the right statistical and machine-learning methods to the problem; from hypothesis testing and regression to classification and causal-inference techniques - Build production-quality data pipelines using dbt and Snowflake so your analysis can be refreshed, monitored, and used over time - Create Tableau dashboards, Streamlit or React applications, and other artifacts that make your analysis usable by leaders and operators - Write clear, concise documentation that explain what you did, what you found, and what you recommend - Present your findings to technical and non-technical audiences, including senior leadership - Learn new tools, technologies, and domain concepts quickly; risk analytics in financial services is a deep space, and you'll be developing both your technical and contextual knowledge throughout the summer Required Qualifications: - Enrolled in an accredited US-based university (working towards a Bachelor's or Master's degree) with an expected graduation date of December 2026 or Spring 2027 - Must be returning to school for at least one quarter or semester after the internship - Have no more than 12 months of professional full-time work experience (excluding internships and research assistant roles) - Must be willing to relocate to San Francisco Bay Area and be available to work in the San Francisco office at a hybrid capacity (2-3x a week) - Proficiency in SQL and Python - Solid foundation in probability and statistics, including hypothesis testing and regression - Experience analyzing datasets and identifying trends, patterns, and anomalies; ideally in a non-academic setting (internship, research role, or substantive project) - Strong written and verbal communication skills; the ability to explain technical work clearly to non-technical audiences - Intellectual curiosity and the drive to push through ambiguity to a clear, defensible answer Preferred Qualifications: - Academic background in Software Engineering, Economics, Statistics, Finance, or a related quantitative field - Exposure to machine-learning techniques relevant to risk analytics, such as anomaly detection, classification on imbalanced data, or NLP - Familiarity with dbt, Tableau, Snowflake - Experience using AI / agentic tools beyond ChatGPT - Prior exposure to financial services, compliance, or other regulated industries Required Skills: SQL, Python, Probability, statistics, Hypothesis testing, Regression, Data analysis, Machine learning, Anomaly detection, Classification, Natural language processing, dbt, Tableau, Snowflake, Intellectual curiosity Benefits: Access to senior leadership, including exclusive Q&A sessions with executives across all functions of SoFi, Exclusive opportunities to deliver a case study to SoFi leaders, Development sessions for career, financial, and professional growth, Opportunities to participate in company wide events like All-Hands and SoFi circles programming, Networking socials to connect with fellow interns, SoFi swag giveaways, Personalized Mentorship Program, Fully stocked kitchen (snacks & drinks), Access to senior leadership, including round tables with executives across all functions of SoFi