Ramp Applied Scientist Intern | New York | Graduating 2027–2029

Key Facts

Overview

Ramp’s applied science team builds the models behind underwriting, fraud, and spend management. As an intern you own one project from data exploration through training, deployment, and monitoring, then measure it with an experiment.

The problems named on the posting are credit, fraud, growth, and the core product. Tools include classical ML, deep learning, causal inference, and large language models. The New York headquarters seat is hybrid.

Eligibility / Key Requirements

• Currently pursuing a bachelor’s, master’s, or PhD in data science, computer science, math, physics, economics, statistics, or a similar quantitative field
• Expected graduation between December 2027 and 2029. A graduate degree is preferred and not required
• Solid ML, statistics, and probability, plus Python (pandas, scikit-learn, NumPy, or PyTorch) and SQL
• You have built and evaluated models on real datasets and can explain the result to a non-technical partner

How to Apply

1. Open the official application from EduBard’s Apply button.
2. Create or sign in to your employer account.
3. Submit your resume and any required materials before the window moves.

Compiled from the official posting; verify details on the employer site before applying.