You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Capital One

Associate, Data Scientist - New Grad, 2027 Start

  • Hybrid
  • 0-3 years

Salary

$110,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,

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?

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 Scientist Associate, you will work with cross-functional teams to leverage model solutions to solve complex business problems. As a data savvy individual, you will use your skills to identify the best algorithm or model to solve the problem at hand. You will have autonomy to take ownership and lead an end to end project, from problem identification to solution deployment.

Types of projects the Data Science team is involved in:

Using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns

Exploring new proprietary data sources and creating predictive models or customer behavior

Applying machine learning techniques to build financial risk models

Create and test algorithms to optimize search engine marketing

Design and develop data pipelines and visualizations to monitor model performance and data quality

Be ready to join a community with some of the most talented people you’ve ever met, who see the customer first, and want to use their skills to make a difference. And, as a founder-led company, we’re inspired to make, break, and do good. So, let’s create something great together.

Your Responsibilities:

Using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns

Exploring new proprietary data sources

Applying machine learning techniques to build models that predict customer behaviour

Design and develop data pipelines and visualizations to monitor model performance and data quality

Basic Qualifications:

Will have obtained a Bachelor’s degree or higher in 2027.

Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong coding background

Experience using Python

Ability to clearly explain technical concepts to a non-technical audience

Preferred Qualifications:

Experience in a Linux environment

Experience using Git or other version control systems

Experience with AWS or other cloud service providers

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 annual salary for this position is $110,000 . This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.

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.

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).

Where you’d work

Part of the week in the office

You can work from

  • Canada

About the company

Capital One

  • Industry: FinTech

Offices in Toronto, Canada, Canada

Also hiring in United States, Chicago, United States, New York, United States and 8 more places

55 of their 1079 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • AWS
  • Spark
Seniority
New Grad
Type
Full-time
Industry
FinTech
Specialty
Data Science
Region
Canada
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
New Grad
Experience
30+ years
Tech stack
  • Python
  • AWS
  • Spark

Location

Work model
Hybrid
Region
Canada
Offices
  • Toronto, Canada
  • Canada
Remote from
  • Canada

Compensation

Salary
$110,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Data Scientist

    Salary by agreement

    • Office · Berlin
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Staff Data Scientist

    $160,000 - 340,000 / year

    • Remote · US
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Data Scientist

    $130,000 - 185,000 / year

    • Hybrid · San Francisco
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Lead Data Scientist

    $140,000 - 235,000 / year

    • Office · Salt Lake City, US
    • Lead & Manager

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason