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

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 ...

Data Engineering Specialist

Toronto, ON ยท Hybrid

CA$84K - CA$115K/yr

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. * 6+ years ... Data engineering certification (e.g., Databricks Certified Data Engineering Associate or ...

... 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 ...

Data Engineer

Markham, 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 ...

Data Systems Analyst

Brampton, ON ยท On-site

CA$75K - CA$95K/yr

Bachelor's degree in Computer Science, Engineering, Data, Analytics, or a related field. * 4 to 6 ... Associate Discount Program where you will be able to enjoy some of the world's best sleep products

Showing results 41-60

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.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

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?

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:
What cities near Toronto, ON are hiring for Data Science Associate jobs? Cities near Toronto, ON with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Associate Director, Enterprise Model Risk Management

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Re-posted 19 days ago


Job description

Job Description

What is your opportunity?

As Associate Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will be responsible for end-to-end execution and documentation of credit risk model validation projects within RBC's Canadian Banking platform. Your role is to independently assess and provide an objective opinion on the soundness of credit risk models using both qualitative and quantitative industry best practices. Specific activities include collaborating with model developers, opining on the adequacy of model documentation, assessing the suitability of models for their intended purpose, reviewing data inputs and outputs, building benchmark models to support validation conclusions, ensuring compliance with internal policies as well as regulatory requirements, communicating validation results, and providing recommendations for improvements.

What will you do?

  • Perform initial review and validation of newly developed credit models and make recommendations supporting use of the model.

  • Employ various quantitative and qualitative techniques to review, test, replicate, challenge, benchmark and assess credit risk models.

  • Utilize strong analytical and written communication skills to execute ongoing model validations once models reach their expected outcome period for all Canadian Banking credit risk models as governed by RBC's Enterprise Model Risk Management policy.

  • Develop comprehensive reports summarizing key observations, conclusions, and recommendations in support of completed model validations.

  • Ensure model validations are planned and completed in accordance with timelines established in the Enterprise Model Risk policy based on each model's materiality and uncertainty rating.

What do you need to succeed?

  • 3 + years of model development or model validation experience, preferably related to credit risk models used within the financial services industry.

  • Hands-on experience with artificial intelligence / machine learning modeling techniques (deep learning, XGboost) as well as logistic regression modeling techniques.

  • Proficient Python programmer with a proven track record of delivering high-quality code.

  • Comfortable working with large data sets. Solid understanding of data extraction and data mining, proficiency in SQL.

  • Strategic thinker with superior interpersonal, verbal and written communication skills and with strong consensus-building skills.

  • Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Data Science or comparable).

Nice-to-Haves:

  • Knowledge of Canadian retail banking products and processes. A strong understanding of retail credit risk modeling theories, principles and industry best practices.

  • A strong understanding of RBC's policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is a definite asset.

  • Experience with Hadoop, Spark, object storage solutions. Familiar with Tableau or other data visualization tools. Experience with version control tools (git).

What's in it for you?

We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in an agile, collaborative, progressive, and high-performing team

  • The opportunity to interface with executives from many different parts of the organization

Job Skills

Critical Thinking, Economic Analysis, Risk Control, Scoring Models

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-02-22

Application Deadline:

2026-08-08

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME