Jobs in Canada

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Added 1 month ago
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Machine Learning Intern 2027 (Toronto)
Pinterest
Toronto, ON
- $8,000 to $8,600 CAD / month
This onsite internship will be based in our Toronto office requiring a few days in office
Added 1 month ago
Manager, Unsecured Development & Control
Scotiabank
Toronto, ON
The Manager of Development & Controls for Unsecured Strategy Enablement, Canadian Retail Credit Risk in GRM will work in close collaboration with centre of excellence teams, unsecured…
Added 1 month ago
Senior Systems Engineer - Identity and Access Management
Electronic Arts
Vancouver, BC
…workforce and supports every part of our business, from game development to marketing, publishing, security, and player experience. We create secure, scalable solutions that help teams…
Added 1 month ago
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CRM & IC Manager
SUN PHARMA
Mississauga, ON
- Full-time
…Generics (GRx) business to provide CRM oversight and IC plan development and implementation. Additionally, identify potential marketplace opportunities based on CRM analysis and salesforce…
Added 1 month 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 1 month ago
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Manager, Information Systems
Aecon
Hamilton, ON
- $120,000 to $130,000 CAD / year
The Information Technology & AI Digital Innovation Manager responsible for managing the HaLRT project information technology strategy, IT infrastructure, digital systems, software…
Added 1 month ago
Validation / Verification Eng, Manager - 18341
Synopsys
Ottawa, ON
Build automated validation frameworks using Python and C/C++ to improve test efficiency and data collection
Added 1 month ago
Validation / Verification Eng, Manager - 18754
Synopsys
Ottawa, ON
Build automated validation frameworks using Python and C/C++ to improve test efficiency and data collection
Added 1 month ago
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Manager, Software (Embedded & Digital Products)
Wabtec
London, ON
- $95,000 to $120,000 CAD / year
- Full-time
As the Manager, Software (Embedded & Digital Products), you will report to the Manager, Engineering & Products and lead a multidisciplinary software organization responsible for embedded…
Added 1 month ago
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Senior Governance & Control Analyst
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 1 month ago
CL
Senior AI Platform Security Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Policy-as-code (OPA or GCP org policy constraints) or secrets management (Secret Manager, Vault).
Added 1 month ago
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FY27 Intern - Design Automation & Quality Assurance Engineering Intern - Canada (16 months)
Qualcomm
Ottawa, ON
- Full-time
…provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our 2027…
Added 1 month ago
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Lead Software Developer
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
Lead DevOps and automation initiatives across development and operations teams.
Added 1 month ago
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Senior Applied AI Engineer
RaiseDesk
Remote, Canada
- Full-time
- Remote
Use AI coding agents as a primary development tool, and take responsibility for reviewing and verifying what they produce
Added 1 month ago
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Senior Manager, Video Production
St. Joseph Communications
Toronto, ON
- $80,000 to $90,000 CAD / year
SJC Media is looking for a Senior Manager, Video Production to lead our video team and help us build the next generation of video & audio production across Toronto Life, Maclean's,…
Added 1 month ago
AgentCore Platform Engineer
Appnovation Technologies
Toronto, ON · Montreal, QC
Gateway, Tools & Integrations: Turn internal APIs, Lambdas and legacy systems into governed tools through AgentCore Gateway, including MCP server development.
Added 1 month ago
DI
AI Development Consultant (1895) $90-100/hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Must have hands-on experience in building AI Agents, RAG models, and working with ML models
Added 1 month ago
FK
Sales Force Effectiveness Manager, Canada
Fresenius Kabi Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
- Full-time
Professional growth and development opportunities
Added 1 month ago
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Actuarial Analyst II
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 1 month ago
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Senior Application Security Engineer
Nutrien
Saskatoon, SK
- Full-time
…strong technical depth, sound judgment, and a strong application development background, along with the ability to provide leadership continuity and decision support when the manager is out…
Added 1 month ago
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Senior Application Security Engineer
Nutrien
Calgary, AB
- Full-time
…strong technical depth, sound judgment, and a strong application development background, along with the ability to provide leadership continuity and decision support when the manager is out…
Added 1 month ago
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Senior Technical Program Manager
CNN
Ottawa, ON · Kanata, ON
- Full-time
CNN Digital is seeking an experienced Senior Technical Program Manager to oversee and drive the development, release, and continuous improvement of key products within our best-in-class…
Added 1 month ago
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Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
Added 1 month ago
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Manager, Software Development
CNN
Ottawa, ON · Kanata, ON
- Full-time
CNN Digital Commerce is seeking a Software Engineering Manager to lead a talented and innovative engineering team building the next generation of web applications and commerce products.…
Added 1 month ago
Manager, Balance Sheet Analysis - Canadian Banking Finance
Scotiabank
Toronto, ON
…and any other analytical tools are preferred (e.g. Power BI, Python,…

Stripe

PhD Data Scientist, Intern

Toronto, ON, Canada

Apply on stripe.com About employer

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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

Apply on stripe.com About employer

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

Seniority

Entry level

Tools

Python
R
SQL
Spark

Languages

English

Fields of study

Data Science
Statistics
Economics
Mathematics

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Work requirements

Jobs in Canada