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Computer Science Data Science Jobs in Ontario (NOW HIRING)

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Graduate degree in Statistics or Operations Research preferred. * 6+ years working experience with data science ...

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science. * 6+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ...

Bachelor's degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience * 5+ years of experience in business strategy, analytics ...

Data Scientist Rates: Up To $70.00 p/h INC. Structure: 12 month contract Location: North York, 1-2 ... Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative ...

Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative field); a Master's or PhD is preferred but not required. * 3+ years of data science experience ...

Master's or PhD degree in Statistics, Applied Mathematics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field. * 2+ years of industry experience developing and ...

... Computer Science, or related quantitative field * 4-5 years of hands-on experience in applied ... Strong SQL skills for data extraction and manipulation * Experience with version control (Git) and ...

Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field. Bonus Points * Experience with predictive maintenance, anomaly detection, or forecasting

Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science Manager, Risk to build and operationalize the models, data pipelines, and analytical frameworks that ...

Showing results 41-60

Computer Science Data Science information

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in Ontario?

For Computer Science Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computer Science Data Science jobs in Ontario look for?

The top searched job categories for Computer Science Data Science jobs in Ontario are:

Infographic showing various Computer Science Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Associate, Data Science - Global Transaction Banking

Toronto, ON

CIBC
Banking and Credit Intermediation • 10K+ employees

Full-time

Retirement

Posted 8 days ago


CIBC rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 176 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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