← All roles

Data Science Intern - Summer 2027

Rippling· Engineering
Apply on company site
Hybrid (San Francisco, CA / New York, NY), San Francisco, CA / New York, NYinternPosted 4w ago

About the role

Data Science internship at Rippling for Summer 2027 (May–August) focusing on building data products, ML models, AI-assisted analytics, and production pipelines to impact product, GTM, risk, finance, and operations.

Responsibilities

  • Use machine learning, statistical analysis, and AI-assisted workflows to analyze customer and product data, uncover insights, and support better decisions.
  • Design, build, and evaluate predictive models for customer revenue, behavior, retention, risk, and product adoption.
  • Prototype responsible uses of generative AI, LLMs, or other AI techniques that improve analysis quality, decision support, automation, or user experience.
  • Build and deploy data and ML pipelines that deliver reliable predictions, recommendations, or insights at scale.
  • Evaluate model and AI system performance with clear metrics, thoughtful validation, and attention to accuracy, bias, reliability, and business impact.
  • Actively participate in team meetings to scope, drive, and communicate progress on your projects.
  • Present your work, methods, tradeoffs, and recommendations to Data Science, R&D, and business leaders.
  • Build relationships with your intern cohort and learn from executives and teams across Rippling.

Qualifications

  • 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.

Skills

Required:SQLPythonPandasCommunication
Nice to have:scikit-learnPyTorch/TensorFlowLLM prompting
Last updated Sep 23, 2026. Interested? Apply on the company site.
Rippling logo

About Rippling

#1 Workforce Management System | HR, IT, Finance

Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.

HRPayrollITFinanceGlobal
Company profileWebsite

More open roles at Rippling