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

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 ...

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 ...

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to ... D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ...

Data Scientist

Toronto, ON

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 ...

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

... 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 III

Toronto, ON · On-site

CA$96K - CA$136K/yr

It supports most consumer facing TD Bank Group lines of business. Your goal as a part of the Marketing Analytics team is to use data & scientific methodologies to understand and learn the client ...

Strong foundation in machine learning, statistical modeling, and data science , including ... Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we ...

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ... About Us At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to ...

New

Understand how the Bank's risk appetite and risk culture should be considered in decision making ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

We work with innovators across many industries, including lending, fintech, banking, insurance, and ... This is a hands-on, engineering-heavy data-science role: you build and ship your own models. Where ...

Data Scientist II

Markham, ON · On-site

CA$81K - CA$115K/yr

In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent ... Together, we are reimagining what banking can be for our clients, colleagues and communities. Our ...

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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 Aug 11, 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 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.

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 is data science in banking?

Data science in banking involves analyzing large volumes of financial data to identify patterns, assess risks, and improve decision-making. Data scientists use tools like Python, R, and machine learning algorithms to develop models that enhance customer experience, detect fraud, and optimize operations within financial institutions.

Can a data science bank work in a bank?

A data science role in a bank involves applying data analysis, machine learning, and statistical techniques to improve financial services, risk management, and customer insights. Data scientists in banking typically work with tools like Python, R, and SQL, and may require knowledge of banking regulations and financial data. They often collaborate with teams to develop predictive models and automate decision-making processes.

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 are popular job titles related to Data Science Bank jobs in Toronto, ON? For Data Science Bank jobs in Toronto, ON, the most frequently searched job titles are:
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, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $103,158 per year, or $49.6 per hour.

Manager, Data Science

CIBC

Toronto, ON • Hybrid

Full-time

Retirement

Re-posted 23 days ago


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

CIBC US Analytics and Infrastructure department is responsible for supporting risk stripes and Lines of Business (LoB) through data management, modelling, analytics, process automation and reporting, to grow and accomplish overall bank strategy.

What You'll Be Doing

The Manager, Data Science is responsible for providing analytics support to Business Lines and Finance team. This involves working with multiple stakeholders on data analysis, process engineering for automated workflows, BI reporting, advanced analytics that drives decision making, and Generative AI solutions.

The candidate is also expected to be comfortable presenting their findings to large audience of senior business leaders and upper management, staying current with AI technology developments, and continuously improving processes and workflows.

At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.

How You'll Succeed

  • Client engagement - Meet with clients to understand their priorities, advise them on solutions, and provide a forward-looking financial plan. Use your knowledge of cash management, credit, investment, and wealth protection to help clients meet their goals.

  • Leveraging technology - Become a technology expert. Share your knowledge by introducing clients to our mobile banking applications, enabling them to better manage their banking needs.

  • Strategic Minded - You'll build and execute on communication strategies in support of key business initiatives that impact TI&I team members, partners and CIBC clients. You will work closely with the SEVP and Group Head, TI&I and her senior leadership team to develop and execute communication strategies and plans that foster a solid understanding of TI&I's purpose-driven mandate to run, protect and transform the bank.

Who You Are

  • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.

  • You're driven to succeed. You're motivated by accomplishing your goals and delivering your best to make an impact.

  • Your influence makes an impact. You know that relationships and networks are essential to success. You lean in on executive guidance, and you inspire outcomes by making yourself heard.

  • You are a strong communicator. Expert interpersonal, communication (oral and written) and problem-solving skills, including effective engagement with all levels of the organization, including senior management, board of directors and regulators. Proven leadership and management experience, with a track record of successfully leading Compliance teams.

Who you are

  • You have strong technical expertise. You bring 1-5 years of experience with Python and SQL for database querying and data manipulation, as well as 1-3 years with cloud-based data solutions using Azure Databricks and Microsoft Power Platform (Power BI, Power Automate, Power Apps).
  • You have relevant education. You hold a Master's degree in a quantitative field.
  • You are a strategic thinker. You can translate complex data into actionable insights and help shape business strategies.
  • You are comfortable with innovation. Experience with LLM and AI agent frameworks is a plus, and you're eager to stay on top of emerging technologies.
  • You are a strong communicator. You can effectively engage and present to all levels of the organization, including senior management and large audiences.
  • Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

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-81 Bay, 26th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Business Requirements, Communication, Data Integration, Data Quality, Deliverables Management, Prioritization, Quality Improvement, Risk Analytics, Test Planning