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Added 3 days ago
SL
Student, Associate Software Engineer (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Familiarity with or eagerness to learn Agile methodologies like Kanban or Scrum
Added 3 days ago
Audio Artist - EA Sports FC
Electronic Arts
Vancouver, BC
Proficiency with VBA macros, SQL, Python, JavaScript, etc.
Added 3 days ago
C
Senior SDET Analyst
Citi
Mississauga, ON
- Full-time
Demonstrable knowledge of Core Java and SQL, with working knowledge of interacting with multiple databases and complex software systems.
Added 3 days ago
SG
Front Office Controls & AI Transformation Officer
Societe Generale
Montreal, QC
- Full-time
…regulatory expectations, and data-driven transformation. Experience with AI-enabled projects, automation initiatives, Python scripting, data engineering, dashboards, or process improvement…
Added 3 days ago
SP
CRM & IC Manager
SUN PHARMA
Mississauga, ON
- Full-time
…Healthcare products that improve the lives of millions of people. With a broadly diversified portfolio of products that span multiple therapeutic areas, we improve access to effective,…
Added 3 days ago
MD
Senior Systems / Cloud Engineer
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Designated in Connect 700 Program for Applicants with Disabilities: Yes
Added 3 days ago
SG
Programmer Analyst
Societe Generale
Montreal, QC
- Full-time
JAVA | SPRINGBOOT | ANGULAR | REACT | PYTHON | SQL
Added 3 days ago
SG
Programmer Analyst
Societe Generale
Montreal, QC
- Full-time
…transformation. GBTO differentiates itself from competitors with the pace of the agile transformation delivered, spreading the technology and data culture, shortening the decision-making…
Added 3 days ago
SG
Application Support Analyst
Societe Generale
Montreal, QC
- Full-time
Scripting: Python |SQL| Bash / Shell, PowerShell
Added 3 days ago
MS
Analytics Engineer
Metro Supply Chain
Mississauga, ON
- Full-time
Use Python/SQL to automate recurring analytical tasks
Added 3 days ago
PhD Data Scientist, Intern
Stripe
Toronto, ON
Experience with SQL and a scientific computing language (s
Added 3 days ago
G
Python Frontend Developer
Genpact
Montreal, QC
- Full-time
We are seeking a hands-on Front-End Engineer/Developer with strong Python and frontend development experience to build and enhance surveillance technology platforms and business-facing…
Added 3 days ago
ND
Python Developer
NTT DATA North America
Montreal, QC
- Full-time
We are looking for an experienced Python Developer with strong SQL skills to design, develop, and maintain scalable applications and data-driven solutions. The ideal candidate should have…
Added 3 days ago
B
Databricks Business Systems Analyst Consultant – Capital Markets
BeachHead
Toronto, ON
- Contract
Are you a data-savvy Business Systems Analyst with expertise in Databricks? Apply Now!
Added 3 days ago
C
Consultant, Business Systems Analysis
CIBC
Toronto, ON
- Full-time
You demonstrate 5-8 years experience in. Must have advanced proficiency in SQL Queries and extensive experience in core credit risk concepts, including Probability of Default (PD), Loss…
Added 3 days ago
CT
Senior Auditor
Canadian Tire Corporation
Toronto, ON
- Full-time
· Working knowledge of Word, Excel, Access, Visio, SQL, Python, KNIME, Co-pilot, ChatGPT and/or other data analytics and AI tools
Added 3 days ago
Manager, Information Systems
Aecon
Hamilton, ON
…we build connect communities and power future generations. With deep roots in North America and a strong footprint internationally, Aecon brings global expertise and proudly serves public…
Added 3 days ago
VC
Junior Business Advisor, Data & Analytics
Vancouver Coastal Health
Vancouver, BC
- $35.37 to $50.85 CAD / hour
- Full-time
Proficiency in data analysis tools such as Excel, SQL, and statistical software (e.g., R, Python) required.
Added 3 days ago
D(
Research Assistant
DHL (Supply Chain)
Mississauga, ON
- Part-time
…opportunities… we look forward to exploring career possibilities with…
Added 3 days ago
T&
Director Information Management
Turner & Townsend
Toronto, ON
- Full-time
Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries.
Added 3 days ago
W
Manager, Software (Embedded & Digital Products)
Wabtec
London, ON
- Full-time
Familiarity with modern digital-platform technologies. Relevant technologies may include C#, .NET, Python, REST APIs, SQL, MQTT, Docker, Kubernetes, Microsoft Azure, or AWS.
Added 3 days ago
EB
Analyst, Credit Risk (18 Month Contract)
EQ Bank
Toronto, ON
- Contract
Strong technical proficiency in SQL and Python, with demonstrated ability to manipulate, analyze, and interpret large datasets.
Added 3 days ago
GX
Azure Data Engineer (Automation & Integration)
Global X Canada
Toronto, ON
- $85,000 to $100,000 CAD / year
- Full-time
Hands-on experience with Azure Data Factory, Azure SQL, Function Apps and Logic Apps.
Added 3 days ago
PT
Python Developer
Pinnacle Talent Placement
Toronto, ON
- Contract
5+ years of backend development experience with Python.
Added 3 days ago
AE
Analyst - Risk Management
American Express
Toronto, ON
- Full-time
Proficiency with analytical tools such as SQL, Python, R, or equivalent, together with advanced Excel skills; experience with data visualization tools is an asset.

Stripe

PhD Data Scientist, Intern

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Oct 1, 2026

Original job description

Who we are

About Stripe

Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier - from solo founders to established enterprises - united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible.

Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works.

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 Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust.

What you’ll do

As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates. It’s an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. You'll partner 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. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling.

Our internship program is competitive and the expectations are high.

Responsibilities

Applying probability distributions, statistical inference, and hypothesis testing to quantify uncertainty and evaluate business outcomes
Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference and experimental analyses
Building, training, and evaluating predictive models across regression and classification tasks for bias-variance trade-offs and model selection
Modeling temporal dependencies, seasonality, and trend decomposition to generate and evaluate time-series predictions
Identifying structural patterns, clusters, and outliers in unlabeled data
Deploying models in production and adjusting model thresholds to improve performance
Designing, running, and analyzing complex experiments and leveraging causal inference designs
Using SQL and Spark to create, transform, and analyze large datasets
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

Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty.
Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before.
Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus.

Minimum requirements

Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028
Experience with SQL and a scientific computing language (such as Python, R, etc.)
Proficiency with AI tools to accelerate model development, analysis, and coding
Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

Preferred qualifications

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

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More about this job

Responsibilities

The intern will build and deploy machine learning models and data products to protect Stripe from fraud and financial crime. They will also partner with cross-functional teams to extract insights, build scalable data pipelines, and deliver actionable business recommendations.

Requirements

Candidates must be enrolled in a quantitative PhD program with an expected graduation date in 2027 or 2028. Proficiency in SQL and a scientific computing language like Python or R is required.

Skills

Python
R
SQL
Spark
Machine Learning
Statistical Modeling
Predictive Analytics
Causal Inference
Experimental Design
Data Pipelines
Time-series Analysis
Anomaly Detection
Data Visualization
Hypothesis Testing
Probability Distributions

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
R
SQL
Spark
Fraud Detection
Financial Crime
Statistical Inference
Predictive Modeling
Causal Inference
Time-series Analysis
Data Pipelines
Anomaly Detection
Experimental Design
Data Storytelling
Risk Modeling
Financial Infrastructure
Quantitative Analysis
Regression
Classification
Bias-variance Trade-off
Automation
Dashboarding
Data Processing

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