Closed listing
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
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- The expected salary range for this position is $33.33 per hour to $48.72 per hour.
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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.
- Will obtain a Bachelor’s degree or higher between September 2027 and September 2028.
- 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.
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:
- Find your rhythm:
- A supportive community from day one:
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).
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
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
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