Rippling
Data Science Intern - Summer 2027
San Francisco, CA · On-site · Internship · Posted Sep 21, 2026
- Experience
- Previous internship, co-op, research, or project experience; no number of years stated. Internship is 12 weeks, May–August 2027.
- Education
- Currently enrolled in a Bachelor’s or Master’s degree in data science, statistics, computer science, economics, engineering, mathematics, or a related quantitative field; at least one semester or quarter must remain after the internship.
About the job
Works with Rippling’s Data Science Team to analyze customer and product data, build and evaluate predictive models and AI-assisted workflows, and deploy data and ML pipelines for business teams.
What you'll do
- Analyze customer and product data using machine learning, statistical analysis, and AI-assisted workflows; build and evaluate predictive models.
- Prototype responsible generative AI and other AI applications, and deploy reliable data and ML pipelines.
- Evaluate model performance, communicate project progress, and present methods and recommendations to technical and business leaders.
What they ask for
- Currently enrolled in a Bachelor’s or Master’s degree in a 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 with data analysis or machine learning tools, and familiarity with modern AI concepts such as LLM prompting, embeddings, model evaluation, or responsible AI practices.
Tools
SQL, Python, pandas, scikit-learn, PyTorch, TensorFlow, dbt, LLMs
AI focus
Uses machine learning and AI-assisted analytics; prototypes responsible generative AI, LLM, and other AI techniques; evaluates AI system performance for accuracy, bias, reliability, and business impact.
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