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Data Science Bank Jobs in Toronto, ON (NOW HIRING)

Manager, Data Science

Toronto, ON · Hybrid

CA$173K - CA$197K/yr

We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ... About the Role As a Data Science Manager at Capital One, you'll manage a team that's leading the ...

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ...

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

... data science, analytics, or relevant field * Experience with cloud-based platforms such as Microsoft Azure * Familiarity with PySpark * Knowledge of Banking or Financial Services Who We Are: TD is ...

Backed by Fairstone Bank of Canada and Ontario Teachers' Pension Plan, Fig combines deep lending ... Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science ...

Partner closely with the Data Science team to train, test, and deploy ML and AI models, within the model risk standards required by the banking industry, including model bias, disparate impact, AI ...

... banking, connect analytical insights to commercial levers (growth, efficiency, customer and advisor ... advanced analytics, data science, or applied AI/ML in domains such as financial services ...

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other ... Build the Future of Banking with Us At Meridian, we're not just adapting to the future--we're ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Role Overview As a Data Scientist II in Business Banking , you will be responsible for designing, developing, and delivering advanced analytics solutions that support data-driven decision making. You ...

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Data Science Bank information

See Toronto, ON salary details

$20.5K

$103.2K

$193.7K

How much do data science bank jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science bank in Toronto, ON is $103,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,194.00 and $147,445.00 per year, depending on experience, location, and employer.

What does a data scientist do in a bank?

A Data Science professional in a bank leverages data analysis, statistical modeling, and machine learning to solve business problems and improve decision-making. Their work often involves analyzing customer behavior, detecting fraud, assessing credit risk, and optimizing marketing strategies. They collaborate with other departments to turn raw data into actionable insights, ensuring the bank remains competitive and compliant with regulations. By building predictive models and dashboards, they help the bank enhance efficiency, profitability, and customer satisfaction.

What are the key skills and qualifications needed to thrive as a data scientist in banking?

To thrive as a Data Scientist in banking, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with machine learning libraries, and knowledge of data visualization and big data platforms such as SQL, Hadoop, or Spark are crucial. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable strategies for non-technical stakeholders. These skills ensure accurate risk assessment, fraud detection, and data-driven decision-making in the highly regulated financial sector.

How does a data scientist at a bank typically contribute to cross-functional teams, and what collaboration challenges might they face?

As a Data Scientist in a banking environment, you will frequently collaborate with teams from IT, risk management, marketing, and business strategy to develop data-driven solutions. This might involve translating complex analytical findings into actionable insights for non-technical stakeholders or integrating models into existing business processes. Common challenges include aligning data science objectives with business goals, managing data privacy concerns, and ensuring clear communication across different departments. Building strong relationships and maintaining open communication channels are essential for overcoming these challenges and delivering impactful results.

What job categories do people searching Data Science Bank jobs in Toronto, ON look for?

The top searched job categories for Data Science Bank jobs in Toronto, ON are:

Infographic showing various Data Science Bank job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $103,158 per year, or $49.6 per hour.

Associate, Data Science - Global Transaction Banking

CIBC

Toronto, ON • On-site

Full-time

Retirement

Posted 13 hours ago

Posted today


CIBC rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 174 rated banks


Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

CIBC's Payments business is an innovative and fast-growing area of the bank, focused on delivering leading solutions for our clients. Within Payments, Global Transaction Banking (GTB) is a strategic Capital Markets business that includes Corporate Cash Management, Global Banks Coverage, Correspondent Banking, and Trade & Working Capital Finance. As an Associate, Data Science, you'll work closely with front office teams to advance GTB's data and analytics capabilities in support of Payments and Capital Markets priorities. You'll develop a strong understanding of the business to identify data-related opportunities, source and analyze structured and unstructured data, and help simplify data flows from source to consumption. You'll also design scalable data and artificial intelligence (AI) use cases that support better decision-making across products, services, and client segments globally. In this role, you'll make a meaningful impact by helping turn data into actionable insights that drive business value.

At CIBC we enable the work environment most optimal for you to thrive in your role.To successfully perform the work, you'll be on-site full-time.

How you'll succeed

  • Data strategy and innovation - Support the development of GTB's data and AI strategy by helping translate data and AI capabilities into business value. You'll contribute to frameworks that organize and integrate GTB data, modernize infrastructure and processes, mitigate data-related risks, and support scalable analytics and AI solutions across business priorities.

  • Business insights and strategic analysis - Deliver actionable insights that support GTB's business strategy and performance objectives. You'll analyze portfolio performance, pricing, net interest margin (NIM), liquidity metrics, and client activity to help inform business planning and decision-making across regions, industries, and segments.

  • Product and process optimization - Identify opportunities to improve product performance, pricing effectiveness, and the overall client value proposition. You'll help streamline reporting, automate recurring analysis, and enhance analytics that support key GTB use cases, including proactive monitoring of client activity and market events.

  • Collaboration and partnership - Build strong relationships with partners across Sales, Treasury, Product, Risk, and Technology, and collaborate effectively with external clients and partners where needed. You'll communicate complex analytical concepts in a clear, practical way and align stakeholders around data-driven solutions.

  • Team contribution and development - Contribute to a collaborative, high-performing team environment through knowledge sharing, problem solving, and continuous improvement. You'll provide thoughtful input and support initiatives that align with GTB's broader objectives and long-term success.

Who you are

  • You can demonstrate experience. You bring 5+ years of experience in data science, analytics, or a related field, ideally within financial services, transaction banking, payments, or capital markets.

  • You have a degree. You have a degree and/or certification in Data Science, Computer Science, Mathematics, Engineering, Economics, Commerce, Business Analytics, Artificial Intelligence, or a related discipline, or equivalent practical experience.

  • You can demonstrate strong technical capability. You bring experience across data and analytics disciplines, including data engineering practices, business intelligence, cloud-based data services, statistics, and programming languages such as Python and SQL. It's an asset if you have experience with visualization tools such as Power BI.

  • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way and turn analysis into clear, actionable insights.

  • You're goal oriented. You're motivated by accomplishing your goals and delivering your best to make a difference in a dynamic, fast-paced environment.

  • You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You work effectively with diverse partners and value collaboration in delivering strong outcomes.

  • Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.

  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-161 Bay St., 7th

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Business Development, Credit Risk Management, Customer Experience (CX), Financial Modeling, Financial Statement Analysis, High Net Worth Individuals, Portfolio Management, Researching

What CIBC employees say

Hours and flexibility

Workplace

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