Data Science Intern - Summer 2027
Quick Summary
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses,
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About the Role
~1 min read- Currently enrolled in a Bachelor’s or Master’s degree in data science, statistics, computer science, economics, engineering, mathematics, or a related quantitative field, with at least one semester or quarter remaining after the internship.
- Previous internship, co-op, research, or project experience in data science, analytics, machine learning, AI, or a related technical area.
- Strong programming skills, especially in SQL and Python.
- Experience working with data analysis or machine learning tools such as pandas, scikit-learn, PyTorch, TensorFlow, notebooks, dbt, or similar frameworks.
- Familiarity with modern AI concepts such as LLM prompting, embeddings, model evaluation, or responsible AI practices.
- Excellent communication skills, including the ability to explain technical work, assumptions, and recommendations to technical and non-technical audiences.
- Ability to adapt quickly, get your hands dirty with industrial- and startup-grade code and systems, and make pragmatic tradeoffs in ambiguity.
- Passion and drive to constantly learn and develop your data science, engineering, and product judgment.Even if you don’t meet all of the requirements listed here, we still encourage you to apply. Skills can be used in lots of different ways and your life and professional experience may be relevant beyond what our list of requirements has outlined.
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. Interns will be based out of one of our San Francisco and New York offices.
Location & Eligibility
Listing Details
- First seen
- September 26, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 57%
- Scored at
- September 27, 2026
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