Summer 2026 | Applied Scientist Intern at Ramp

New York, New York, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Fintech, TechnologyIndustries

Requirements

Currently pursuing M.S. or Ph.D. in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with expected graduation between Dec 2026 - 2027
Strong understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
Proficiency in Python and common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
Knowledge of SQL and experience wrangling data in a modern data warehouse (e.g., Snowflake, BigQuery, Redshift, Clickhouse)
Practical experience curating datasets and building/evaluating ML models
Interest or experience with AI, particularly integrating cutting-edge LLMs and agents into applied solutions
Strong communication skills to explain complex concepts to technical and non-technical audiences and build compelling narratives with data
Bias for action and comfort taking initiative

Responsibilities

Own the end-to-end ML model lifecycle, including data exploration, feature engineering, training, benchmarking, deployment, and monitoring
Leverage state-of-the-art Large Language Models (LLMs) to solve novel problems and create new product capabilities
Apply versatile ML techniques such as deep learning, gradient boosting, or causal inference to appropriate problems
Conduct rigorous experimentation, including A/B tests and other statistical methods, to quantify impact
Collaborate closely with engineers, product managers, and business stakeholders to translate business needs into scalable ML solutions and turn models/insights into actionable strategy and user-facing features

Skills

Key technologies and capabilities for this role

AIMachine LearningData SciencePythonModelingFraud DetectionUnderwriting

Questions & Answers

Common questions about this position

Is this internship remote or hybrid?

The position is hybrid.

What will I be doing as an Applied Scientist Intern?

You'll own end-to-end ML projects including data exploration, feature engineering, training, deployment, and monitoring; leverage state-of-the-art AI like LLMs; apply techniques such as deep learning and causal inference; conduct rigorous experimentation with A/B tests; and collaborate with product and business leaders.

What skills are needed for this Applied Scientist Intern role?

Key skills include end-to-end machine learning (data exploration to deployment), experience with Large Language Models (LLMs), versatile ML techniques like deep learning, gradient boosting, and causal inference, rigorous experimentation with A/B tests, and collaboration with cross-functional teams.

What is the company culture like at Ramp?

Ramp is investing in AI as the foundation for modern finance, building innovative tools for financial operations, and values bold people who create genuine value; the Applied Science team is deeply embedded in the business to solve critical problems like underwriting, fraud, and spend management.

What makes a strong candidate for this internship?

Strong candidates can own end-to-end ML projects, work with LLMs and advanced techniques like deep learning and causal inference, conduct A/B testing, and collaborate effectively with engineers, product managers, and business stakeholders to deliver scalable solutions.

Ramp

Corporate card and spend management platform

About Ramp

Ramp provides a corporate card and spend management platform that helps businesses track expenses and save money. The platform allows finance teams to manage corporate cards, expense reports, and bill payments in one place, and it integrates with tools like Slack for added convenience. Ramp serves a wide range of clients, from large enterprises to creative agencies, and aims to reduce overall expenses through its comprehensive financial tools. Unlike competitors such as Amex and Brex, Ramp generates revenue through interchange fees on card transactions and subscription fees for advanced features. The company's goal is to streamline financial operations for businesses and help them achieve significant cost savings.

New York City, New YorkHeadquarters

2019Year Founded

$1,096.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Competitive salaries: You never have to wonder how your pay compares. Our generous comp reflects our belief that you’ll take Ramp to the next level.

Comprehensive health plans: US-based employees get full medical, dental, and vision insurance coverage. Everyone gets a monthly stipend for personal wellness.

Professional development: Take advantage of our annual education stipends to stay on top of your personal growth.

Unlimited PTO: Flexible vacation days give you the time to step away, unwind, and recharge.

Risks

Increased competition from fintech startups could challenge Ramp's market position.

Economic downturns may reduce business spending, affecting Ramp's revenue streams.

The volatile travel industry poses risks to Ramp's new travel booking services.

Differentiation

Ramp integrates with popular tools like Slack and Workday for seamless financial operations.

The platform offers advanced accounting automations, reducing manual work for finance teams.

Ramp's use of stablecoins and modern financial instruments sets it apart from competitors.

Upsides

Ramp's integration with Workday enhances real-time data syncing and accounting automation.

The partnership with Priceline expands Ramp's services into the growing business travel sector.

Ramp's recent $750 million funding boosts its capacity for innovation and market expansion.

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