Associate, Data Scientist - New Grad, 2027 Start

Capital One Canada; Toronto; Hybrid; CAD 94,000 - 127,000; Full time

Job summary

Capital One Canada is seeking a Data Scientist Associate who will work with cross-functional teams to leverage model solutions for complex business problems. You will own end-to-end projects, from problem identification to solution deployment, using Python and PySpark on large transaction datasets to identify fraud patterns.

The role emphasizes building predictive models, exploring new data sources, and designing data pipelines and visualizations to monitor model performance and data quality,

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.

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.

Skills

Python

Communication

Internship experience

Education

Bachelor's degree or higher

Pursuing Bachelor's in Mathematics/CS/Engineering

Tools

Linux

Git

AWS

Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Scientist - New Grad, 2027 Start

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 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.

Weembrace 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.