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Data Science Graduate Jobs in Ontario (NOW HIRING)

Our Team The Data Cognition Team (DCT) at BMO Capital Markets delivers a sustainable and scalable ... Qualifications Bachelor's or Graduate degree in Engineering, Computer Science, Mathematics, Physics ...

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... Collaborate with software engineers, data scientists, and product teams to operationalize AI ...

Students from all parts of the country and abroad are pursuing their graduate studies at SOET. With ... Data Science * CAD / CAM Engineering * Intelligent Systems * Basic Sciences (Physics/Chemistry ...

Showing results 41-60

Data Science Graduate information

See Ontario salary details

$24.5K

$87.4K

$195K

How much do data science graduate jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data science graduate in Ontario is $87,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $127,500.00 per year, depending on experience, location, and employer.

What is a data science graduate?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.

What does a data science graduate do?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

What are the key skills and qualifications needed to thrive as a data science graduate?

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

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

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

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

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

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

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

Infographic showing various Data Science Graduate job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $87,433 per year, or $42 per hour.

2027 Winter - GRM, ALM Risk Data & Automation Analyst Intern (4 Months)

Toronto, ON • Hybrid

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees

Full-time

Posted 11 days ago


Key responsibilities

  • Contribute to the design, build, and optimization of ETL/ELT pipelines that ingest, transform, and consolidate ALM risk data from multiple sources into a centralized data platform

  • Engineer validation logic in SQL and Python that reconciles risk data against source systems and pinpoints the root cause of discrepancies

  • Move recurring data and reporting jobs onto a scheduler/orchestrator so they run and alert without manual intervention


Job description

Job Description

What is the opportunity?

Group Risk Management - Balance Sheet and Liquidity Risk (GRM-BSLR) provides independent second line oversight of all balance sheet and liquidity risks at the enterprise level.

As a Co-op Student, you will work on the data engineering behind ALM risk reporting & analytics, and support the transformation of our risk practices - building and extending data pipelines, scripting away manual processes, automating data quality checks, and applying AI tooling to work that has traditionally been done by hand.

What will you do?

  • Contribute to the design, build, and optimization of ETL/ELT pipelines that ingest, transform, and consolidate ALM risk data from multiple sources into a centralized data platform

  • Engineer validation logic in SQL and Python that reconciles risk data against source systems and pinpoints the root cause of discrepancies

  • Convert ad-hoc checks into an automated, rule-driven data quality process with clear pass/fail reporting

  • Apply AI-assisted tooling to accelerate pipeline development, validation, and documentation

  • Move recurring data and reporting jobs onto a scheduler/orchestrator so they run and alert without manual intervention

  • Monitor pipeline runs, resolve failures, and investigate data issues

What do you need to succeed?

  • Currently enrolled at a Canadian post-secondary institution in computer science, data science, financial engineering, mathematics, statistics, or a related quantitative discipline

  • Exposure to ETL/ELT concepts and data transformation logic

  • Python for data manipulation, pipeline scripting, and automation

  • SQL and working knowledge of relational databases

  • Familiarity with AI coding assistants (e.g., GitHub Copilot, Claude Code)

  • Self-driven, comfortable with ambiguity, and able to communicate clearly with non-technical stakeholders

Nice-to-have

  • Cloud data warehouse experience (e.g., Snowflake) for querying and transforming large datasets

  • Job scheduling or workflow orchestration (e.g., Airflow) for automating recurring processes

  • BI tools (e.g., Tableau, Power BI) for reporting and data visualization

  • Knowledge of financial markets, balance sheet management, or risk management.

Please note:This posting is for a 4-months Winter 2027 Student placement with a start date of January 2027, and end date of April 2027. In order to be eligible for this 4-months Student position, you must either:

  • Be returning back to school after the work term end-date of April 2027 ; or
  • If you are not returning back to school (i.e. are graduating in April 2027), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.

Please ensure that you meet these eligibility requirements before applying- candidates who apply but are found to be ineligible are not able to be considered.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangementsfor this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

ET27

Job Skills

Analytics, Communication, Computer Literacy, Data Automation, Data Engineering, Data ETL, Data Transformation, Data Visualization, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Python (Programming Language), Structured Query Language (SQL), Tableau (Software)

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:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-31

Application Deadline:

2026-09-21

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