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

Capital One

Director, Data Science

Toronto, ON · Hybrid

... associates, and in talent like you! Your Responsibilities: * Partner with a cross-functional team ... At least 5 years' experience working with or developing data science/machine learning solutions

BMO Capital Markets

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). Minimum 3 years of experience in data science or machine ...

Accenture

AI Architect, Manager

Toronto, ON · Remote

You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years. * Cross talent community skillset, one resource that ...

PwC

Data Risk Management, Senior Associate

Toronto, ON · On-site

CA$65K - CA$109K/yr

As a Senior Associate in the Data Risk Management team, unlock your potential and embrace the ... Bachelor's or Masters degree in Business, Information Technology, Finance, Data Science or Computer ...

SNC-Lavalin

Data Architect

Toronto, ON · On-site

Bachelor's degree in computer science, data science, engineering, or related field. * At least 10 ... Azure AI Engineer Associate. * Azure Administrator Associate. * Azure DevOps Engineer Expert.

PwC

Azure Data Consultant, Senior Associate

Toronto, ON · Hybrid

CA$84K - CA$134K/yr

Collaborate with data scientists, analysts, and business stakeholders to deliver robust solutions ... Azure Data Engineer Associate (DP-203); Microsoft Certified: Fabric Analytics Engineer Associate;

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Data Science Associate information

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 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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 Toronto, ON? The most popular types of Data Science jobs in Toronto, ON are:
What are popular job titles related to Data Science Associate jobs in Toronto, ON? For Data Science Associate jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Toronto, ON look for? The top searched job categories for Data Science Associate jobs in Toronto, ON are:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.
Director, Data Science

Director, Data Science

Capital One

Toronto, ON • Hybrid

Full-time

Posted 22 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

71st of 144 rated banks

Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Director, Data Science

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!

Your Responsibilities:

  • Partner with a cross-functional team of data practitioners, software engineers, and product managers to manage the risk and uncertainty inherent in statistical models in order to lead Capital One to the best decisions, not just avoid the worst ones.

  • Leverage a broad stack of technologies - Python, AWS, agentic AI, and more - to reveal the insights hidden within huge volumes of numeric and textual data

  • Lead the architecture and development of machine learning models through all phases of development, from design through training, evaluation, and implementation

  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities

  • Manage and develop talent to drive a highly performant and engaged team

  • Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow

Basic Qualifications:

  • Bachelor's Degree plus 9 years of experience in data analytics, or Master's Degree plus 7 years of experience in data analytics, or PhD plus 5 years of experience in data analytics

  • At least 4 years of experience in open source programming languages for large scale data analysis

  • At least 4 years of experience with machine learning

  • At least 4 years of experience with relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 5 years' experience working with or developing data science/machine learning solutions

  • At least 1 year of experience working with AWS

  • At least 3 years of experience managing people

  • At least 5 years of experience in Python, Scala, or R for large scale data analysis

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.

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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