Data Science Intern - Summer 2027

Rippling • San Francisco, CA

2d • Onsite

About The Position

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 2026 (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 13 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!

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• 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 This Job Offers

• Career Level: Intern
• Education Level: Associate degree