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Job summary

The associate will work with cross-functional teams to develop model solutions and lead end-to-end data science projects. Responsibilities include analyzing transaction data, building predictive models, and designing data pipelines to monitor performance.

Job details

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

What you’ll do

The associate will work with cross-functional teams to develop model solutions and lead end-to-end data science projects. Responsibilities include analyzing transaction data, building predictive models, and designing data pipelines to monitor performance.

Requirements

Candidates must be pursuing or have obtained a Bachelor's degree or higher in a quantitative discipline by 2027. A strong coding background with experience in Python is required, while experience with Linux, Git, and cloud providers is preferred.

Benefits

• Performance-based incentive compensation • Cash bonus • Mentorship programs • Onboarding program • Early career development programs • Hybrid work model

Listed skills

• Data visualization · Preferred
• Data analysis · Preferred
• Machine learning · Preferred
• Amazon Web Services · Preferred
• Linux · Preferred
• Communication Skills · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• PySpark
• Machine learning
• Data analysis
• Predictive modeling
• Data pipelines
• Data visualization
• Fraud detection
• Financial risk modeling
• Search engine marketing
• Linux
• Git
• AWS
• Communication skills
• Hybrid Model
• Workplace Inclusivity
• Business Problems
• Cloud Services
• Advanced Mathematics
• Curiosity
• Git (Version Control System)
• Artificial Intelligence
• Algorithms
• Amazon Web Services
• Technical Support
• Consumer Behaviour
• Version Control
• Communication
• Computer Science
• Data Quality
• Financial Risk Modeling
• Innovation
• Python (Programming Language)
• Mentorship
• Predictive Modeling
• Search Engine Marketing
• Solution Deployment Descriptor
• Data Science
• Data Pipelines
• Applied Machine Learning

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Science & Research
• Lead Data Scientist
• Data Scientist
• Systems Analysts
• Data Scientists