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Added 3 mins ago
Advanced Data Analyst - EA Sports FC Live
Electronic Arts
Vancouver, BC
…FC’s live service business. Reporting to a Senior Analytics Manager, you will be part of a growing team providing data and insights around player behaviour and live content performance…
Added 3 mins ago
Manager, International Tax Reporting and Compliance
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Toronto, ON · Sun Life Toronto One York
Full-time
The Manager, International Tax Reporting and Compliance will assist with the international and Canadian tax reporting and compliance function, which includes foreign affiliate reporting,…
Added 3 mins ago
Senior Compensation Analyst
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Vancouver, BC
…excellent compensation experience. You will report to the Senior Manager, Compensation Programs. You will also partner and support PE projects and manage ad-hoc and ongoing needs and…
Added 3 mins ago
Accounting Manager (Interim)
The Semios Group
Remote, Canada
Temporary · Remote
The Accounting Manager is responsible for overseeing the month end processing and consolidating reporting of the organization.
Added 3 mins ago
Cyber Security Developer
BMO
Mississauga, ON · MCCC
Full-time
…time off in lieu, in accordance with company guidelines and manager…
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Operations Administrator & Branch Floater, Private Wealth
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Toronto, ON · FCP
Full-time
…families with tailored advice across investments, planning, and complex banking needs. Our teams work closely together to deliver a high‑touch, personalized experience, balancing strong…
Added 3 mins ago
Customer Service Representative
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Part-time
Escalates complex or unresolved customer situations to managers as required.
Added 3 mins ago
Senior Project Coordinator, ICI Building Construction
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Toronto, ON · Caledon, ON
Full-time
…executing project strategies in collaboration with the Project Manager for an exciting commercial project. You will support the operations team in maintaining safety and quality standards…
Added 17 mins ago
Java/GoLang Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$70 to $90 CAD / hour
Contract
…- who collaborate across cross-functional teams to deliver complex, regulated banking operations. The client ranks among the top financial institutions in Canada and is subject to…
Added 17 mins ago
Senior Project Manager - (HR Digital Transformation)
MatchBox Consulting Group
New Westminster, BC
Contract
MatchBox is urgently seeking a Senior Project Manager - HR Digital Transformation for our New Westminster based public sector client. This is a 24 month contract with possibility of…
Added 30 mins ago
Sourcing Manager- Human Resources Category Lead
Societe Generale
Montreal, QC
Full-time
An Analyst/Associate– Sourcing Manager for HR category within Société Générale (“SG”) Americas Sourcing Department supports the overall goals of the Global Sourcing Department in Paris…
Added 30 mins ago
Software Developer Senior Specialist
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Full-time
As a Back-End Software Engineer, Senior Specialist reporting to the Senior Manager you'll play a critical role in designing and delivering cloud-based data solutions that power financial…
Added 32 mins ago
Senior Business Project Manager
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Toronto, ON · Greater Toronto Area, Canada
Contract
The successful candidate will lead complex, cross-functional business and technology initiatives within a highly regulated financial services environment. This role requires a Project…
Added 32 mins ago
Office Manager
Earls Kitchen + Bar
Mississauga, ON
$19 to $22 CAD / hour
Part-time
Our Office Manager is a person who enjoys providing a high level of confidential administrative and personal support to the management team and to our partners. They are willing to assist…
Added 32 mins ago
Accounting Manager (Interim)
Semios
Vancouver, BC
$115,000 to $123,000 CAD / year
Temporary
The Accounting Manager is responsible for overseeing the month end processing and consolidating reporting of the organization.
Added 32 mins ago
National Account Manager - West
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Vancouver, BC
Full-time
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Added 32 mins ago
National Account Manager - West
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Vancouver, BC
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Added 32 mins ago
Manager, Financial Reporting
Navacord
Toronto, ON
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The Manager, Financial Reporting, is responsible for overseeing the external financial reporting processes, ensuring accuracy, timeliness, and compliance with ASPE. This role plays a key…
Added 33 mins ago
Projects & Services - Field Construction Manager, Fort McMurray
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Added 48 mins ago
PhD Data Scientist, Intern
Stripe
Toronto, ON
…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…
Added 48 mins ago
Data Analyst, Intern
Stripe
Toronto, ON
…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…
Added 1 hour ago
Research Coordinator, Surgery
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Calgary, AB
Full-time
…projects initiated by SPHERE researchers that frequently involve complex co-ordination. The position requires detailed knowledge of the research administration and management systems within…
Added 1 hour ago
Senior Manager, Product Services Group and Investment Funds
Scotiabank
Toronto, ON
Lead delivery of complex assignments and projects, exercise judgement and identify solutions to provide recommendations to business partners and senior management.
Added 1 hour ago
Advisor, Securities
Desjardins
Laval, QC
Full-time
…budget monitoring and management of administrative staff to the manager of a large branch or a group of branches. Serve as resource person for all employees regarding policies, procedures,…
Added 1 hour ago
Senior Auditor
Canadian Tire Corporation
Toronto, ON
Full-time
Working with Audit Manager/Audit Portfolio Manager (APM), the Senior Auditor will help plan & effectively complete assigned accountabilities, supporting the completion of process focused,…

Stripe

PhD Data Scientist, Intern

Toronto, ON, Canada

Posting language: English
Posted: Oct 1, 2026

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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

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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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