Jobs in Canada

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Added 1 month ago
F
Data Scientist, Risk Modeling & Analytics
Financeit
Remote, Canada
- Full-time
- Remote
Foundational experience with Python, SQL, Excel, or similar analytical tools; experience building models, working with data, or automating processes is a strong asset
Added 1 month ago
Associate Strategic Implementation Manager (24 Months Fixed Term)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Experience with Python, SQL, or other scripting and data technologies is an asset.
Added 1 month ago
RB
Senior Software Developer in Test (Development Focused)
Royal Bank of Canada
Montreal, QC
- Full-time
Proficiency in programming languages such as Java, Python, Vue, Angular, node and Oracle and SQL queries for test data mining, data generation & conditioning.
Added 1 month ago
F
Data Scientist, Risk Modeling & Analytics
Financeit
Toronto, ON
- $75,000 to $100,000 CAD / year
- Full-time
Foundational experience with Python, SQL, Excel, or similar analytical tools; experience building models, working with data, or automating processes is a strong asset
Added 1 month ago
Lead Data Scientist
Independent Electricity System Operator
Canada
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL Server, Oracle etc), programming (XML, Javascript, or ETL frameworks)
Added 1 month ago
Manager, Unsecured Development & Control
Scotiabank
Toronto, ON
Use a variety of tools (ex. SAS, Excel, Python, MongoDB, Power BI etc.) to provide dynamic analysis on key performance metrics to various stakeholders in GRM and business lines in support…
Added 1 month ago
C
Data Engineer – PySpark & SQL
Capgemini
Mississauga, ON
- Full-time
Candidate must hold at least one relevant, active Data Engineering or Cloud certification, preferably from:
Added 1 month ago
Advanced Data Analyst - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Write and maintain complex SQL and scripting workflows to extract, transform, and validate large-scale telemetry datasets
Added 1 month ago
C
Senior SDET Analyst
Citi
Mississauga, ON
- Full-time
Must Have Skills:
Added 1 month ago
SG
Front Office Controls & AI Transformation Officer
Societe Generale
Montreal, QC
- Full-time
Working knowledge of Python, SQL, APIs, automation tools, and AI/Generative AI solutions.
Added 1 month ago
SP
CRM & IC Manager
SUN PHARMA
Mississauga, ON
- Full-time
Driven by a bold pursuit of science and fueled by an unwavering commitment to patients, Sun Pharma is a leading global pharmaceutical company, providing high-quality medicines trusted by…
Added 1 month ago
MD
Senior Systems / Cloud Engineer
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Work Shift/Work Hours: Day Shift
Added 1 month ago
SG
Programmer Analyst
Societe Generale
Montreal, QC
- Full-time
This role is ideal for a proactive and innovative software developer who is passionate about driving technological advancements in the financial services industry.
Added 1 month ago
SG
Programmer Analyst
Societe Generale
Montreal, QC
- Full-time
Proficient in Python for data manipulation, automation, and scripting.
Added 1 month ago
SG
Application Support Analyst
Societe Generale
Montreal, QC
- Full-time
Scripting: Python |SQL| Bash / Shell, PowerShell
Added 1 month ago
PhD Data Scientist, Intern
Stripe
Toronto, ON
Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference and…
Added 1 month 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 1 month 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 1 month ago
B
Databricks Business Systems Analyst Consultant – Capital Markets
BeachHead
Toronto, ON
- Contract
Validate data assumptions and identify issues through direct data analysis using SQL and other tools
Added 1 month ago
C
Consultant, Business Systems Analysis
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 1 month 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 1 month ago
Manager, Information Systems
Aecon
Hamilton, ON
Aecon delivers some of the most complex and impactful infrastructure projects - from transformative transportation networks to critical energy, industrial and nuclear programs. The projects…
Added 1 month 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 1 month ago
D(
Research Assistant
DHL (Supply Chain)
Mississauga, ON
- Part-time
Become an essential part of everyday life, by contributing to an organization that is Connecting People and Improving Lives. If you have a passion for people, a desire to problem-solve, and…
Added 1 month ago
T&
Director Information Management
Turner & Townsend
Toronto, ON
- Full-time
Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people’s lives. Working in partnership…

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

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Jobs in Canada