Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Pricing Strategy team is part of Stripe's Product Marketing organization and is responsible for how Stripe prices its products. Our work is highly cross-functional and we partner closely with Product, Finance, and Sales to tackle some of Stripe's most visible and commercially impactful decisions. We're looking for someone who can blend financial analysis, strategic thinking, and stakeholder engagement to help us price new products and evaluate their pricing performance as the products evolve.

What you’ll do

• Be deeply analytical. You are energized by complex, ambiguous pricing questions and are comfortable going deep in the data to find answers
• Be a storyteller. You can translate complex, nuanced findings into compelling, actionable narratives that resonate with senior stakeholders and drive the organization to action 
• Be a pragmatic problem-solver. You are comfortable making and defending well-reasoned judgments even when data is imperfect or incomplete, and know how to ask the right questions and find creative analytical approaches to move forward with confidence
• Be a collaborator. You partner effectively across Engineering, Product, Finance, and Sales to drive alignment and get things built

Responsibilities

• Drive pricing analytics and strategy by conducting rigorous analysis on ambiguous, high-impact questions about Stripe's business, and translating findings into clear recommendations that shape pricing decisions and commercial strategy
• Uncover growth opportunities by analyzing pricing realization, identifying products where pricing adjustments may be warranted, and understanding how factors like multi-product adoption and user churn shape the economics of our business
• Accelerate the pace of pricing decisions by codifying solutions to the complex, recurring analytical questions that sit at the core of Stripe's pricing strategy
• Improve our data and systems infrastructure by identifying gaps in how we capture and evaluate pricing outcomes, and partnering cross-functionally with Engineering, Product, and Data teams to design and implement robust, scalable solutions

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Bachelor’s degree in a STEM or business major (e.g., Computer Science, Math, Statistics, Engineering, Business Administration)
• 5+ years of experience in data-intensive roles with a focus on translating insights into strategic business outcomes
• Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships
• Proven ability to collaborate cross-functionally (e.g., Product, Engineering, Finance teams)
• Excellent verbal and written communication skills 
• Ability to toggle between high-level strategy and granular system details

Preferred qualifications

• Master’s degree in a STEM major
• Domain knowledge in pricing and/or GTM
• Experience in fast-paced environments (e.g., high-growth fintech, tech, or management consulting)
• Familiarity with Python, R, or similar languages for advanced data manipulation

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact.  Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you’ll do

About the internship experience

Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products. 

Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.

We're not just focused on your immediate contributions; we're invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.

Responsibilities

You will:

• Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
• Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
• Influence business actions and strategy by developing actionable insights through metrics and dashboards.
• Drive the collection of new data and the refinement of existing data sources.
• Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
• Present your work to the Data Science team, partner teams, and fellow interns

Who you are

Minimum requirements

We’re looking for someone who has:

• Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
• Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
• Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

Preferred qualifications

You also likely have:

• Experience writing and debugging data pipelines
• Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
• Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

** This role is not eligible for hire in the United States - we are hiring only in Toronto, Ontario, Canada for summer 2026.