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Added 45 mins ago
TH
Intern, AI Machine Learning Developer
The Home Depot
Canada
- Full-time
At HD Tech, we are not just coding - we’re crafting the future of retail. Our team is a vibrant mix of engineers, data scientists, and problem-solvers who build and maintain intelligent…
Added 1 hour ago
IF
Intern/Student – Compliance and Controls (Winter 2027)
iA Financial Group
Montreal, QC · Brossard, QC
- Full-time
As an Intern/Student – Compliance and Controls, you will play a key role in supporting regulatory compliance activities, as well as regulatory analyses and initiatives, to help ensure the…
Added 1 hour ago
IF
Actuarial Science and Data Science Intern (Winter 2027)
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
As an Actuarial Science and Data Science Intern, you will play a key role in the development of analytical tools and models designed to address real business challenges in group insurance…
Added 1 hour ago
IF
Intern - IT Analyst
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…clients feel confident and secure about their future? As an Intern - IT Analyst, you will play a key role in delivering and improving technology solutions in collaboration with various…
Added 1 hour ago
IF
Intern – Associate, Investment Products and Platforms
iA Financial Group
Toronto, ON
- $23.5 to $29.5 CAD / hour
- Full-time
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Added 1 hour ago
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Atura Power
Oakville, ON
- Internship
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Added 1 hour ago
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Quality Assurance Intern (Winter 2027, 12months)
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Toronto, ON
- $23 to $30 CAD / hour
- Full-time
Social Intern Events: Coffee Breaks, Onsite/Offsite events
Added 4 hours ago
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Exclusive S&P Global Ratings Early Careers Virtual Networking Event
S&P Global
Toronto, ON
- Full-time
If you are selected to attend this virtual event, you will then be invited to apply for our 2027 intern and graduate opportunities.
Added 4 hours ago
CO
Intern, Data Scientist - Summer 2027
Capital One
Toronto, ON
- Full-time
As a Data Analytics Engineering Intern, you will work with cross-functional teams to develop tools and data structures. As a creative problem-solver, you will be challenged to consider…
Added 4 hours ago
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AI Workflow & Operations Intern
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Richmond, BC · CAN - Richmond, BC
- Full-time
…software engineer - but you do need to be comfortable with data, curious about AI, and motivated by operational impact. If you’ve ever built a workflow to automate something in your own…
Added 6 hours ago
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Internship - Finance
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AB · Edmonton, AB
- Volunteer
We are seeking a motivated Intern to join our Finance team and gain hands-on experience supporting critical operational processes. This internship is designed to provide exposure to…
Added 9 hours ago
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Intern, Business Analytics, Customer Response Center (CRC) - Winter 2027
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Dorval, QC
- Volunteer
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Added 10 hours ago
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Accounting Intern (Winter 2027)
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Added 10 hours ago
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Business Intelligence and AI Intern (12 Months)
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Richmond Hill, ON
- Internship
Current student or recent graduate in Data Science, Data Analytics or a comparable course of studies.
Added 10 hours ago
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Added 11 hours ago
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Machine Learning Intern – Summer 2027
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Intern, Aircraft Structural Design and Project Management - Advanced Structures (Winter 2027)
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Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
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Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
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Winter Intern 2027 - Tax & Estate Planning
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Added 19 hours ago
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Stagiaire - Intelligence artificielle
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Capital One

Intern, Data Scientist - Summer 2027

Toronto, ON, Canada

The expected salary range for this position is $33.33 per hour to $48.72 per hour. · Full-time

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Job details

Pay: The expected salary range for this position is $33.33 per hour to $48.72 per hour.
Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Data Scientist - Summer 2027

MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.

About Capital One Canada

For 30 years, we’ve been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated.

You’ll be empowered to grow your career in a supportive environment where you can own and shape your journey on your own terms. You’ll redefine what’s possible by contributing to work that impacts millions of Canadians, taking ownership of your decisions and outcomes, supported by mentors who will push you to think bigger and challenge the status quo.

Are you ready to redefine what’s next?

About The Team

Capital One is more than you think. We're a data-driven tech company that just happens to do credit cards. We focus on customer-first solutions, and we're united with this common goal. We have all the advantages of a startup, with the resources of a big company. Working here means you're curious, innovative spirit will be encouraged as you push boundaries and try new things, while your career is nurtured and supported. Our environment is creative and filled with teams that are passionate about the dynamic work they're doing. We're ahead of other banks in tech and we want to keep it that way.

About The Role

As a Data Analytics Engineering Intern, you will work with cross-functional teams to develop tools and data structures. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment.

Your Responsibilities:

Transform data into data structures in our data lake and Snowflake data warehouse that are leveraged for business decision making.
Create, enhance and maintain critical data processes.
Act as a steward for our data: ensuring it is high quality, trustworthy, well documented, and easy to use.
Build, automate, and maintain critical business reporting and visualizations that helps deliver insights.
Perform investigative analysis on large/diverse dataset.

Basic Qualifications:

Will obtain a Bachelor’s degree or higher between September 2027 and September 2028.

Preferred Qualifications:

Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong programming background.
Familiarity with SQL and/or data transformation tools such as dbt. Python experience would also be an asset.
Experience building and maintaining data pipelines.
Ability to shape and develop requirements into practical solutions.
Ability to clearly explain technical terms to a non-technical audience.
Experience in a Unix/Linux environment, with Git, AWS, or APIs.
Excellent verbal and written communication skills.
Previous intern experience.

Working at Capital One

Here you’ll uncover personal strengths, explore new interests and make an impact that matters. The work you’ll find here will keep you inspired and guide you in your career journey.

Take ownership of your own potential:

As you begin your career, you’ll define your own path by gaining exposure across the business, learning new skills, and having access to tools and mentorship to understand your potential.

Find your rhythm:

We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments.

A supportive community from day one:

Through our robust onboarding program, orientation sessions, buddy program for new hires and early career development programs, you’ll get foundational training while building connections with your peers and leaders – cultivating a supportive community you can lean on for support and guidance.

You’ll find that Capital One is committed to helping you thrive and evolve every step of the way.

This posting is for an existing vacancy.

The expected salary range for this position is $33.33 per hour to $48.72 per hour.

We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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More about this job

Responsibilities

Transform data into structures in the data lake and Snowflake warehouse, and create, enhance, and maintain critical data processes. Ensure data is trustworthy and well documented, build and maintain reporting and visualizations, and investigate large, diverse datasets to support business decisions.

Requirements

Applicants must be pursuing a bachelor's degree or higher and expect to obtain it between September 2027 and September 2028. Preferred qualifications include a quantitative degree and programming background, familiarity with SQL or dbt and Python, data pipeline experience, and the ability to develop practical solutions and communicate technical concepts clearly.

Skills

SQL
Data Transformation
Python
Data Pipelines
Data Modeling
Data Quality
Data Documentation
Business Reporting
Data Visualization
Investigative Analysis
Requirements Development
Technical Communication
Unix/Linux
Git
AWS
APIs

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics Engineering
Data Science
Data Lake
Snowflake
SQL
dbt
Python
Data Transformation
Data Structures
Data Pipelines
Data Quality
Data Stewardship
Business Reporting
Data Visualization
Investigative Analysis
Large Datasets
Unix/Linux
Git
AWS
APIs
Requirements Development
Business Decision-Making
Cross-Functional Teams
Financial Services
Bachelor's Degree
Mathematics
Computer Science
Engineering

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