Data Science Intern — Build ML Models & Pipelines

Rippling; San Francisco (CA); On-site; USD 34,000 - 55,000; Full time

Benefits offered by this job

Mentorship

Office access in SF & NY

Competitive internship program

Job summary

Rippling, based in San Francisco, seeks a Data Science Intern for Summer 2027 (May–August) to work with a seasoned team on data-driven projects across product, go-to-market, risk, finance, and operations. You’ll gain hands-on experience building data products, ML models, AI-assisted analytics workflows, and production pipelines.

During the 12-week program, you’ll receive mentorship, hands-on learning, and opportunities to present results to leaders.

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. 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.

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.

Skills

SQL

Python

Pandas

Scikit-learn

PyTorch

TensorFlow

Notebooks

dbt

Communication

Problem solving

Education

Bachelor’s or Master’s degree in data science, statistics, CS, economics, engineering, mathematics

Tools

Jupyter Notebooks

dbt

Job description

Rippling, based in San Francisco, seeks a Data Science Intern for Summer 2027 (May–August) to work with a seasoned team on data-driven projects across product, go-to-market, risk, finance, and operations. You’ll gain hands-on experience building data products, ML models, AI-assisted analytics workflows, and production pipelines.

During the 12-week program, you’ll receive mentorship, hands-on learning, and opportunities to present results to leaders.