Data Science Intern

Job description

At QuantCo, applied scientists combine advances in AI with rigorous economic and quantitative thinking to build systems that improve high-stakes decisions. As a **Data Science Intern**, you will work on a substantive, well-scoped project connected to our ongoing research and production work. You’ll work day to day with full-time colleagues, tackling problems the team is actively solving and contributing to systems we build for customers. Experienced scientists and engineers will provide close mentorship throughout the internship, giving you a realistic sense of the full-time role at QuantCo. Our work combines research and modeling in AI/ML, statistics, and econometrics with hands-on engineering that turns quantitative ideas into reliable production systems. Intern projects reflect this breadth, with some closer to research and others closer to engineering. Recent intern projects have included: - Developing methods for AI-driven hypothesis generation and interpretable feature discovery from patterns learned by black-box embedding models. - Quantifying uncertainty in multimodal pricing models. - Building agents that turn unstructured product data into reliable signals. ### We’re looking for: - Strong foundations in mathematics, statistics, computer science, economics, or a related quantitative field. - Experience programming in Python and working with data. - Coursework, research, or project experience in at least one relevant area, such as machine learning, statistical modeling, econometrics, causal inference, experimental design, or software engineering. - Current enrollment in a bachelor’s, master’s, or PhD program. Research experience, whether academic or applied, is a plus. We place greater weight on quantitative foundations and potential than on prior industry experience or established expertise.