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, 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 $1.2B 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.

About the role

Here at Rippling, we believe in our early talent’s potential, experience and aspirations. Our mission is to create opportunities for students through mentorship and training, ownership through impactful projects, and, of course, fun through our dynamic startup culture.

As a Data Science Intern, you will join our Data Science Team in Summer 2025 (May-August) to work shoulder to shoulder with a team of seasoned data scientists and analysts dedicated to boosting the impact of all Rippling’s motions, be it in product, sales, marketing, risk, or financial investments.

Rippling Interns gain the experience of full-time data scientists including building machine learning (ML) models and deploying end to end production pipelines. Interns will be assigned projects that not only have an impact on the business, but that are also scoped to fit within the time constraints of their internship so they can see the full impact of their work.

During your 12 weeks at Rippling, we will provide all of the tools needed to be successful. Your dedicated mentor and manager will provide support for your learning and development throughout your time with us. You will join your fellow interns in a variety of socials, talks with Rippling leaders, and more!

What you will do

• Use machine learning and other data mining techniques to analyze customer data and uncover customer level insights that help drive GTM decisions and improve Product
• Design, build, and deploy models to forecast multiple components of customer revenue and behavior, creating a valuable outlook for future revenue and customer success
• Deploy end to end ML pipelines to deliver prediction and insights at scale
• Actively participate in team meetings to scope, drive, and progress your projects
• Present your work to our R&D senior team
• Attend Meet & Greets with various executives and teams to gain a holistic view of what it takes to run a company like Rippling

What you will need

• Previous internship/co-op experience in data science
• Currently enrolled in a Bachelor’s or Master's degree in data science or in a related field with at least 1 semester/quarter after their internship is completed
• Excellent communication skills
• Solid programming skills with an emphasis on SQL and Python
• Ability to adapt get your hands dirty with both industrial- and startup grade code and systems
• Passion and drive to constantly learn and develop your engineering skills

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.

About the team

Here at Rippling, we have many teams that span across all different types of work varying from product development, platform enhancement, and infrastructure strengthening.

Our various product teams have a combination of both directly user-facing products as well as interfaces for other engineering teams. There are challenges for the team that range from building for usability to scaling for massive growth and a wide array of engineering requirements.

Rippling’s platform engineering teams provide a layer of abstractions for every product team to build quickly and scale effortlessly. Providing a strong platform layer enables Rippling to build as a startup of startups. These teams are responsible for building the foundational software that powers the Rippling platform.

Infrastructure type teams lead architecture initiatives that support Rippling's continued scalability and performance through a period of hyper-growth.

Additional Information

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.