This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and lenders to use automated cash flow underwriting—analyzing detailed banking history in real time—to improve credit decisions, expand approvals, and reduce losses. We believe cash flow tells a more accurate story than traditional credit scores alone, and we’re building products that help credit providers make faster, fairer decisions. Prism transforms raw transaction data from any source into highly structured, explainable features and predictive risk scores, including the market-leading CashScore®. Our products sit at the intersection of data engineering, machine learning, and regulated financial decisioning—and are trusted by some of the largest financial institutions and fastest-growing fintechs in the country. Prism is well-funded and backed by leading strategic investors like Synchrony and Citi, along with top-tier venture firms including Obvious Ventures, Valar Ventures, and Core Innovation Capital. At the heart of Prism’s offering is Data Science—not just as a technical function, but as the core product. As such, the Data Science team plays a uniquely central role in the company’s success, with direct influence on product innovation, commercial strategy, and company-wide decision making. Prism is seeking a Data Science Intern to join its growing team. The team conducts R&D for next-generation solutions, tests and presents Prism products’ effectiveness at solving prospects’ and clients’ business problems, produces insights that inform external thought leadership, and collaborates with cross-functional partners to enhance operations. The role presents a rare opportunity to make a measurable difference at a critical inflection point for both Prism and the credit scoring and lending industries.
Job Responsibility:
Train Models: Utilize your background in data science to build models to categorize transactions, identify income, and proactively identify credit risk
Research: Research and evaluate new model development and training techniques. Determine applicability of new technologies to Prism’s business
Evaluate: Explain to clients and prospects how they can get the most value out of Prism’s solutions
Communicate: Explain technical concepts to clients and prospects with less experience in data science. Translate the statistical model performance into business value
Requirements:
Bachelor’s degree in a STEM-related field
Knowledge/interest in common data science/statistical tools and techniques
Python programming experience
Strong strategic thinking and analytical skills
Excellent communicator and internal relationship builder, who can collaborate cross-functionally (e.g., with our sales, product and technical teams) on complex topics
Ability to understand and explain technology and data flows
A self-starter with a track record of success working with distributed teams