About the role#
As a PhD Data Science Intern, you will join our team to build models, data products, and insights that help Stripe and its users grow responsibly. You will own projects end to end, working alongside data scientists to solve complex problems. This position is based in Toronto and operates on-site.
What you'll do#
- Apply probability distributions, statistical inference, and hypothesis testing to evaluate business outcomes.
- Use Python or R for data processing, statistical modeling, machine learning, and causal inference.
- Build, train, and evaluate predictive models, including regression and classification tasks.
- Model temporal dependencies, seasonality, and trends.
- Identify clusters and outliers in unlabeled data.
- Deploy models into production and adjust thresholds to improve performance.
- Design, run, and analyze complex experiments.
- Use SQL and Spark to transform and analyze large datasets.
- Communicate your work status and present findings to the Data Science team and partner teams.
What you'll need#
- Enrollment in a quantitative PhD program, such as Data Science, Statistics, Economics, or Mathematics.
- Expected graduation date in December 2027 or spring/summer 2028.
- Experience with SQL and a scientific computing language like Python or R.
- Proficiency with AI tools to accelerate coding, analysis, and model development.
- Experience working and communicating with multidisciplinary stakeholders.
- Ability to write and debug data pipelines.
- Demonstrated ability to receive and incorporate feedback from peers and mentors.
- Aptitude for learning new systems through independent research and collaboration.
Location & details#
- Location: Toronto, Ontario, Canada.
- Modality: On-site.
- Employment type: Full-time.
- Term: Rolling.
- This is a paid internship.
About Stripe
Stripe builds programmable financial services for businesses. The company provides tools for accepting payments and managing revenue. It serves a range of clients from startups to large enterprises. Founded in 2010, the firm maintains headquarters in South San Francisco and Dublin. It employs over 17,000 people across multiple global offices.
How to get in at Stripe
Applying early gives you a distinct advantage at Stripe, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, ensuring you can submit your application among the first. This helps you avoid the frustration of waiting in a growing queue while others are already being considered. You can also improve your response rates by reaching out to the people actually hiring for the team. Intern Insider surfaces the recruiters behind the company's roles so you can contact them directly to ask about the position or a referral. A brief, professional message to the right person often beats a blind application.
