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Data Science Associate Jobs in Ontario (NOW HIRING)

A Bachelor's degree in Computer Science, Information Systems, Engineering , or a related field Nice ... Microsoft certifications such as Fabric Analytics Engineer Associate or DP-203 Azure Data Engineer ...

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ... Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or a related field

We innovate and apply science in order to ensure the safety and integrity of products and services ... Support Product Data Associates by clarifying requirements, coaching on workflows, and resolving ...

Purpose Contributes to the overall success of the Data Engineering Team under GOCT Solution ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Sr. Associate, Process About Capital One ... job families like Data Science, Business Analytics and Product Management too. Your ...

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Associate, Performance Marketing About ... data science, and product groups to help grow our business. About the Role In this role, you will ...

CA$100K/yr

... the Data Science Centre, the Chair will answer the following broad questions: How can the ... Candidates should, at a minimum, be assistant or associate professors, or possess the necessary ...

... like data scientists, process managers, and product owners. Our strategy analysts are deployed ... with associates in other job families such as Data Scientists and Product Managers, working to ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ... With several offices across North America, we offer a range of engineering, science, and technical ...

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Data Science Associate information

See Ontario salary details

$10

$45

$98

How much do data science associate jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data science associate in Ontario is $45.59, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $61.78 per hour, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Ontario? The most popular types of Data Science jobs in Ontario are:
What are popular job titles related to Data Science Associate jobs in Ontario? For Data Science Associate jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Ontario look for? The top searched job categories for Data Science Associate jobs in Ontario are:
What cities in Ontario are hiring for Data Science Associate jobs? Cities in Ontario with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Ontario as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $94,837 per year, or $45.6 per hour.
Senior Manager, Customer Resiliency Strategy and Analytics

Senior Manager, Customer Resiliency Strategy and Analytics

Capital One

Toronto, ON • On-site

Full-time

Posted 8 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

72nd of 141 rated banks


Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Senior Manager, Customer Resiliency Strategy and Analytics


About Capital One Canada


For 30 years, we've been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people - in our customers, in our associates, and in talent like you!

About the Team

Customer Resiliency is at the heart of realizing our mission to help both our customers and our business. From day one, you'll have the opportunity to work on solving complex problems, using data-driven decision making to enhance the overall business strategy, while still maintaining work/life balance.

As Sr. Manager, Customer Resiliency Strategy and Analytics, you'll be working with Business Analysts, Product Managers, Process Managers, Operations and Data Scientists supporting Customer Resiliency Strategy within Canada Card.

At Capital One, we love to give our Senior Managers the opportunity to rotate to roles across various teams, so while this role is within the Customer Resiliency Strategy team, you will have the opportunity to rotate to new teams throughout your time at Capital One. This is part of our winning formula for creating great future leaders and as such, this role is well suited to high performers looking for growth opportunities.


About the Role


As a Senior Manager, Customer Resiliency Analytics, you will lead the strategy and analytics for both our Collections and Recoveries programs. Your primary mission will be to define, execute and continuously monitor customer-centric strategies that help customers get back on track with credit, while also protecting the financial health and business outcomes of Capital One Canada.
You will be the custodian of portfolio risk for delinquent and charged-off accounts, working closely with internal loss forecasting teams to ensure a grounded outlook on expected future losses.


This role requires a unique combination of strategic thinking, analytics expertise, people leadership, and executive communication. You'll lead and develop a high-performing team of analysts, partner with colleagues across Credit Risk, Loss Forecasting, Data Science, Operations, Technology and Product, and influence senior leaders with data-driven insights. You will be accountable for building business cases with a clear focus on outcomes, trade-offs, and long-term resilience.


Your Responsibilities


Strategic Leadership

  • Develop and execute Customer Resiliency strategies that help customers and Capital One, while balancing loss prevention, customer experience and business growth.

  • Provide clear direction and priorities across Customer Resiliency initiatives.


People Leadership

  • Lead and develop a high-performing team of analysts, fostering a culture of inclusion, collaboration, and innovation.

  • Provide coaching and remove barriers to grow the next generation of leaders.

Strategic & Analytic Orientation

  • Guide and challenge the teams' analysis to ensure rigor, clarity, and alignment to business priorities.

  • Balance data-driven depth with pragmatic decision-making, ensuring strategies are responsive to changing risks.

Partnership

  • Collaborate with cross-functional partners (Product, Technology, Data Science, Operations, Credit Risk) to ensure strategies are translated into effective business outcomes.

  • Work in partnership with direct-reports to align strategies across domains, integrate insights, and present a unified perspective to senior leaders.


Strong Business Judgment & Integrity

  • Exhibit sound judgment and the ability to influence with credibility at senior levels to amplify the work of the team.


Basic Qualifications

  • At least 7 years of experience in debt collection, credit risk, or analytics with demonstrated impact on the P&L, customer experience, and business results.

  • At least 5 years of people leadership experience, with a track record of fostering an inclusive, collaborative team culture where associates feel safe to speak up and challenge ideas constructively.

  • Strong problem-solving skills, with an established history of leveraging analytical skills to effectively influence strategic decisions.

  • Experience in synthesizing complex insights into clear narratives that drive senior leadership decisions.


Preferred Qualifications

  • Bachelor's degree or higher

  • Experience leading leaders

  • Proven ability to build strong partnerships with other leaders - balancing alignment with giving managers the autonomy to lead their team

  • Deep understanding of industry trends and external factors that influence credit risk strategies - such changing macroeconomic environments, adoption of advanced technologies, evolving customer behaviours and regulatory shifts.

  • Prove ability to anticipate emerging risks and adapt roadmaps in a rapidly changing environment.

  • Proven ability to manage ambiguity and make strategic decisions under uncertainty.

Working at Capital One.


Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station.


Live well-physically, financially and emotionally. Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents. With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year-and much more-you'll discover that Capital One is committed to helping you live your best life.

This posting is for an existing vacancy.

The expected annual salary range for this position is $184,000 to $210,000. 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.


Weembrace 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.


We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.

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).


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