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Data Science Intern

QuantCo · On-site

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Last seen by MeritLog September 10, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from QuantCo's Lever job board and last checked it on September 10, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
Not listed by source
Location
USA
Occupation
Data Scientists(O*NET 15-2051.00)

Hiring context

How this role compares at QuantCo

QuantCo has 17 live roles in MeritLog’s catalog across 3 job families, and 9 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

QuantCo concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

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.

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