# Applied Scientist Intern

**Company**: Ramp
**Location**: New York, NY
**Work arrangement**: hybrid
**Job type**: Intern
**Salary**: $12,500 per month
**Category**: Data Science
**Industry**: Finance

**Apply**: https://jobs.ashbyhq.com/ramp/b39ceb08-a0a7-4f8b-a760-2fb88e209956?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e0264b6b-35d

## Description

## Compensation

The monthly rate for this internship is $12,500 USD.

## About the Role

The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions.

## What You’ll Do

- Own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring

- Leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers

- Apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference

- Quantify the impact of your work through A/B tests and other statistical methods

- Partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features

## What You Need

- Currently pursuing a B.S., M.S., or Ph.D. in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029

- Solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization

- Curiosity and drive to integrate cutting-edge LLMs and agents into applied solutions

- Good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)

- Experience wrangling data in a modern data warehouse (e.g., Snowflake, BigQuery, Redshift, Clickhouse)

- Track record of curating datasets and building/evaluating ML models

- Ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative

- Comfort with ambiguity and desire to ship solutions quickly then iterate

## Nice to Haves

- Relevant experience applying AI/ML and demonstrating your passion for the field

- Knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code

- Experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)

## Ramp Benefits

- Apple MacBook

- Catered lunches in NYC office Monday-Friday

- Weekly coffee stipend

## Benefits available to all full-time Ramp employees (Global)

- Flexible PTO

- Centralized home-office equipment ordering

- Health and wellness stipend

- Budget for intra-office travel

- Weekly coffee stipend

## Skills

### Required
- Machine Learning
- Python
- Data Science
- SQL
- Large Language Models

### Nice to have
- AI
- Deep Learning
- Gradient Boosting
- Causal Inference
- Data Orchestration

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/ramp/b39ceb08-a0a7-4f8b-a760-2fb88e209956?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)