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. We’re driven by what’s possible, leveraging the power of data and technology to empower innovative solutions, inspire one another to dream boldly, and take transformative ownership of decisions and outcomes that directly impact millions of Canadians.
Every challenge is an opportunity to lead from the front, working together toward a shared vision that extends far beyond banking. We balance high-performance with investment in your long‑term success, ensuring you have the support you need to do your best work. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making. We’re building a portfolio of agentic AI products to transform Capital One’s engineering organizations and lines of business – autonomous coding agents, context engineering, and agentic model‑development lifecycle to name a few. We’re creating a new science team to help define the long‑term strategy, analyze & optimize impact throughout the ecosystem, and drive business value at enterprise scale.
As a scientist on the team, you’d design AI/ML models and help build the solutions behind these products. You’d also own the science that guides them: designing experiments (A/B tests), modeling telemetry, and turning the results into AI strategy and guidance for C‑suite leadership.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in AI and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Partner with a cross‑functional team of data scientists,



AI & ML engineers, and product managers to deliver enterprise products customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Customer first. You know at the end of the day it’s about making the right decision for our customers.
Creative. Technical. You’re comfortable with open‑source languages and are passionate about developing further. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to outstanding data science.
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science,



or a related quantitative field) plus 4 years of experience performing data analytics
At least 4 years of experience leveraging open‑source programming languages for large‑scale data analysis
At least 4 years of experience building/deploying AI/ML models in productionAt least 4 years of experience designing and analyzing A/B tests
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

- 3+ years of experience working with AWS
- 5+ years of experience with Python, Scala, or R for large‑scale data analysis
- 5+ years of experience with machine learning
- You’ll be empowered to take end‑to‑end ownership of your work and your career, backed by a high‑performance, hybrid culture and holistic suite of benefits designed to support your whole self. 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.

Full coverage for spouses, domestic partners and dependents, a one‑time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

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 View phone number on click.appcast.io or via email at View email address on click.appcast.io technical support or questions about Capital One's recruiting process, please send an email to View email address on click.appcast.io 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.
At Capital One, we’re building a leading information‑based technology company. Still founder‑led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking.
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📌 Head of Machine Learning and Data Science (Toronto)
🏢 Capital One
📍 Toronto