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Added 10 mins ago
Team Manager, Disability Management Services Office
Canada Life
London, ON
Full-time
We are looking to hire a Team Manager in the London Disability Management Services Office.
Added 10 mins ago
Delivery Lead
Fastloop
Vancouver, BC
Full-time
Added 10 mins ago
Senior Operations & Delivery Manager
Monachus Solutions
Vancouver, BC
$100,000 to $140,000 CAD / year
Full-time
We're hiring an Operations & Delivery Manager to build the operating system behind how Monachus delivers. As Monachus grows, we’re continuing to strengthen the systems and operating rhythms…
Added 10 mins ago
Senior Manager, Bid & Proposal
CS GROUP - Canada
Montreal, QC
Full-time
We are seeking a Senior Bid & Proposal Manager to lead competitive proposals for the Defense Products business line. The role owns the bid lifecycle from opportunity qualification and…
Added 10 mins ago
Client Advisor
RBC
Powerview-Pine Falls, MB
Part-time
…capabilities, you can build a great career with us as a future Account Manager/Banking…
Added 10 mins ago
Financial Analyst
University of British Columbia
Kelowna, BC
$7,158.42 to $10,292.25 CAD / month
Full-time
…systems and related financial activities for the UBC Okanagan Finance department. This role provides support to the Senior Manager, Budget and Financial Planning by proving data analysis,…
Added 10 mins ago
Account Manager I
TD
Victoria, BC
Full-time
…compliance requirements and minimizing operational risk. The Account Manager I is responsible for conducting credit analysis for own…
Added 10 mins ago
Manager, Customer Experience - Fixed Term Contract
TD
Regina, SK
Part-time
…experience? If so, then apply with us today for the position of Manager Customer Experience and offer your expertise in creating meaningful and memorable customer…
Added 10 mins ago
Customer Experience Associate- Future Opportunities Inviting Applicants who identify as First Nation (Status and Non-Status) Inuit, and Métis
TD
Kamloops, BC
Part-time
Added 10 mins ago
Senior Manager, Credit Risk Governance & Adjudication
First Nations Bank of Canada
Saskatoon, SK
$106,199 to $152,927 CAD / year
Full-time
The Senior Manager, Credit Governance and Adjudication support the AVP, Credit Risk Governance and Adjudication in leading second-line oversight of credit risk across the organization.
Added 10 mins ago
Controller - Saskatoon Motor Products
AutoCanada Inc.
Saskatoon, SK
$90,000 to $120,000 CAD / year
Full-time
Saskatoon Motor Products is looking for an Office Manager! The right candidate for this role will be extremely well organized, computer literate with Microsoft Office and other…
Added 10 mins ago
Manager, Financial Planning & Regulatory Reporting
EPCOR
AB · Edmonton, Alberta
Full-time
We are hiring two full-time permanent Manager, Financial Planning & Regulatory Reporting positions based in Edmonton, AB. Reporting to the Associate Director, Regulatory & Forecast, you…
Added 26 mins ago
Business Applications Specialist
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Vancouver, BC · BC
Full-time
Reporting to the Manager, Business Applications, the Business Applications Specialist is responsible for supporting the design, integration, optimization and evolution of enterprise…
Added 40 mins ago
Alumni Program Manager, Toronto Raptors
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Toronto, ON
Full-time
The Toronto Raptors are seeking an experienced and relationship-driven Alumni Program Manager to develop, lead and grow the Toronto Raptors’ Alumni Program. This role will be responsible…
Added 40 mins ago
Senior Manager, Revenue Growth Management & Strategy
Coca-Cola Canada Bottling Limited
Toronto, ON
Full-time
We are looking for a Senior Manager, Revenue Growth Management & Strategy (RGM), Large Store to join our Revenue Growth Management team. If you are a strategic and commercially minded…
Added 40 mins ago
Information Technology Technician – 22.5 hours/week – Permanent
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Peterborough, ON
Internship
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$22.2 to $24.96 CAD / hour
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Absence, Time Tracking & Payroll Lead, BC Health Workday
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Added 40 mins ago
Project Controls Lead, Project Management Office, BC Health Workday
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Intermediate Project Manager/Analyst
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Added 40 mins ago
Client Solution Manager - Surety
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$51,500 to $100,500 USD / year
Full-time
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Added 40 mins ago
Payroll & Benefits Specialist
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Calgary, AB
Full-time
Report, reconcile, and administer taxable benefits, gross-ups, and allowances for expatriate employees in conjunction with Tax Manager
Added 55 mins ago
Bilingual Manager, Translation Services
Government of Manitoba
Winnipeg, MB
Full-time
Francophone Affairs Secretariat is seeking to fill the Bilingual Manager, Translation Services position.
Added 1 hour ago
Administrative Coordinator
British Columbia Cattlemen's Association
Kamloops, BC
Part-time
Reporting to the General Manager, the Administrative Coordinator provides administrative support to BCCA operations by delivering a professional, member-centered service experience.
Added 1 hour ago
Program Manager
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Full-time
Reporting to the Senior Director - Line of Business Lead, the Program Manager is responsible to coordinate and monitor the design, development and testing of switch-mode power conversion…

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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