Data Science Intern Summer 2027

Here at Rippling we believe in our early talents 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 2027 (May-August) to work shoulder to shoulder with seasoned data scientists and engineers focused on increasing the impact of Ripplings product go-to-market risk finance and operations teams.

Rippling interns gain experience doing the work of full-time data scientists including building data products machine learning models AI-assisted analytics workflows and production pipelines. Projects are meaningful to the business and scoped so interns can see the full impact of their work.

During your 12 weeks at Rippling we will provide the tools mentorship and context you need to be successful. Your dedicated mentor and manager will support your learning and development and you will join fellow interns for socials leader talks and opportunities to learn how a fast-growing company operates.

• 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.

What you will need

• Currently enrolled in a Bachelors or Masters 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 dont 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.

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race religion color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression age sexual orientation veteran or military status or any other legally protected characteristics Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation please email

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office) Rippling considers working in the office at least three days a week under current policy to be an essential function of the employees role. Interns will be based out of one of our San Francisco and New York offices.