About this role
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:
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Developing methods for AI-driven hypothesis generation and interpretable feature discovery from patterns learned by black-box embedding models.
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Quantifying uncertainty in multimodal pricing models.
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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.