Data Science Intern: Build ML Pipelines & Impact

Rippling; San Francisco (CA); On-site; USD 100,000 - 145,000; Full time

Job summary

Rippling is seeking a Data Science Intern for Summer 2026 (May–August) to work alongside experienced data scientists and analysts. You will gain exposure to building ML models and deploying production pipelines across product, sales, marketing, risk, and financial investments.

During the 13 weeks, you will be mentored by a dedicated manager, participate in socials and talks, and contribute to impactful projects with real business outcomes.

Qualifications

• 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 required.
• Solid programming skills with an emphasis on SQL and Python.

Responsibilities

• Use machine learning and other data mining techniques to analyze customer data and uncover customer level insights.
• Design, build, and deploy models to forecast multiple components of customer revenue and behavior.
• 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 Rippling.

Skills

Data mining

ML

Excellent communication

Education

Bachelor's or Master's in data science

Tools

SQL

Python

Job description

Rippling is seeking a Data Science Intern for Summer 2026 (May–August) to work alongside experienced data scientists and analysts. You will gain exposure to building ML models and deploying production pipelines across product, sales, marketing, risk, and financial investments.

During the 13 weeks, you will be mentored by a dedicated manager, participate in socials and talks, and contribute to impactful projects with real business outcomes.