Data Science Intern
QuantCo sucht einen Data Science Intern zur Arbeit an substantiven Projekten in KI, Statistik und Wirtschaft. Die Position bietet enge Betreuung und realistische Erfahrung mit echter Produktionsarbeit.
- Starke Mathematik/Statistik/Informatik Grundlagen
- Python Programmierung
- Interesse an angewendeter Datenwissenschaft
Gehalt geschätzt anhand Paid internship at quantitative tech company with relocation/housing support and bonus. Kein Gehalt in der Anzeige angegeben.
- Studenten mit starkem quantitativem Hintergrund
- Absolventen, die Data Science praktizieren möchten
- Personen mit Python-Erfahrung
- Anfänger ohne Mathematik/Statistik-Grundlagen
- Personen ohne Programmierung
- Fachleute, die nur Remote arbeiten möchten
- Ganzjahres-Internship-Bewerbungen akzeptiert
- Mehrere Bürostandorte weltweit
- Mentorship ist integral zur Internship-Erfahrung
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.
-
Quantifying uncertainty in multimodal pricing models.
-
Building agents that turn unstructured product data into reliable signals.
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.
What we offer:
You’ll join an intellectually curious, interdisciplinary team that thrives on solving difficult problems and developing novel solutions that work in practice. We care deeply about our customers and build thoughtful products that deliver meaningful impact. You'll work alongside colleagues who take one another’s ideas seriously, challenge each other thoughtfully, and are eager to learn across disciplines. We offer a generous compensation package that includes base salary, bonus, relocation and housing support along with additional location-based benefits. We accept internship applications year-round for summer and off-cycle periods.
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.