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Data Science Graduate Jobs in Ontario (NOW HIRING)

Our Graduate Program brings together opportunities across engineering, AI, software and technical ... Data Science or another relevant technical or quantitative field. Some opportunities may require a ...

Graduate degree is considered an asset. 5+ years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields. Nice to Have Experience working in ...

Data Developer II

Windsor, ON · On-site

CA$35.06 - CA$46/hr

Bachelor's or graduate degree in computer engineering, mathematics, data science, or related disciplines. * 4-6 years of professional experience in a related field. * Experience using the following ...

CA$30/hr

Preferably graduate students in Statistics. * Data Science in Python/R: Preferably those with project experience in each language. * AI/Society: Preferably those with programming experience in non ...

CA$30/hr

Preferably graduate students in Statistics. * Data Science in Python/R: Preferably those with project experience in each language. * AI/Society: Preferably those with programming experience in non ...

Showing results 21-40

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, Data Scientist Intern (8 Months)

Toronto, ON • Hybrid

Rbc
Banking and Credit Intermediation • 10K+ employees

Full-time

Posted 24 days ago


Job description

Job Description

What is the opportunity?

The GRM Data Scientist Intern is mandated to develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry trends and innovation opportunities. Utilizing sophisticated tools and techniques the GRM Data Scientist Intern will develop and tune new and existing solutions used to identify suspicious activity, analyze data to identify RBC clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program.

What will you do?

  • Enhance AML Analytics solutions with advanced network analysis features
  • Develop new AML Transaction Monitoring solutions with machine learning and data science techniques
  • Explore Network Analysis techniques and methodologies and apply them to AML monitoring
  • Present newly developed models with clear visualizations to the Director, AML Analytics
  • Identify opportunities in applying new technologies to AML analytics
  • Use and remain updated in AI-assisted workflows and tools and their applications in developing solutions
  • Develop required documentation and monitoring methodology for models
  • Provide recommendations to the Director, AML Analytics on any findings of model performance
  • Collaborate with the Director, AML Analytics to prioritize development of monitoring solutions
  • Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk
  • Collaborate with business partners, industry peers and external vendors to improve effectiveness and efficiency of transaction monitoring program
  • Identifying industry best practices and new technologies for strategic consideration by the AML Monitoring and AML Governance Committee

What do you need to succeed?

Must have

  • Strong data, analytical, quantitative method and problem-solving skills
  • Expertise in analyzing and manipulating large datasets with Python
  • Proficiency and familiarity with different SQL databases and GitHub
  • Experience in using data visualizations to elaborate model performance with Python
  • Understands project's needs and ability to translate these into detection models
  • Experience with supervised and unsupervised learning, network analysis, and NLP
  • Proven excellent written and oral communication skills to convey complex concepts to a non-technical audience

What's in it for you?

We thrive on the challenge to be our best, progressive thinking 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, competitive compensation, commissions, and stock where applicable
  • 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 senior level executives from many different parts of the organization

Please note:This posting is for a 8-months Winter 2027 Student placement with a start date of January 2027, and end date of August 2027. In order to be eligible for this 8-months Student position, you must either:

  • Be returning back to school after the work term end-date of August 2027 ; or
  • If you are not returning back to school (i.e. are graduating in August 2027), you must require the full 8-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

Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W: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:

2026-08-18

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.