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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 ...

In this role, you'll drive the development and deployment of ML solutions that power data-driven ... Graduate degree is considered an asset. * 5+ years of relevant experience preferred. Nice to Have

... science) Graduate's degree preferred with either progressive project work experience or * Past relevant work experience and academic training in data & analytics is a plus * Power BI, Python, MS SQL ...

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 ...

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. * Experience building Conversational and Agentic AI solutions.

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. * Experience building Conversational and Agentic AI solutions.

Geological Engineering Graduate

Mississauga, ON · On-site +1

CA$73K - CA$97K/yr

... sciences. Working under the guidance of senior engineers and geologists, you will support field ... Prepare technical reports, drawings, figures, and data summaries for project deliverables.

Geological Engineering Graduate

Mississauga, ON · On-site +1

CA$73K - CA$97K/yr

... sciences. Working under the guidance of senior engineers and geologists, you will support field ... Prepare technical reports, drawings, figures, and data summaries for project deliverables.

CUPE- 2026 Fall SDS3786

Ottawa, ON · On-site

CA$31.89 - CA$50.25/hr

Undergraduate students will be paid at the lower rate; while graduate students will be paid at the ... Good knowledge of data science topics (e.g. data cleaning, descriptive and predictive analysis ...

... geospatial data science, and sustainability science. In addition, there are various cross ... graduate students, and teach introductory and advanced classes in support of the Department ...

New

... geospatial data science, and sustainability science. In addition, there are various cross ... graduate students, and teach introductory and advanced classes in support of the Department ...

New

... data. Who you are: * Qualified healthcare professional or Life Sciences graduate and a minimum 10+ years of drug development experience in pharmaceutical or related industry, including at least 5 ...

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 Aug 10, 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 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 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 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 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:
Infographic showing various Data Science Graduate job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,433 per year, or $42 per hour.

CA$90K - CA$120K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 18 days ago


Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service North American-based financial services provider, withover 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services.BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North Americawith US$1.0 trillion total assets andapproximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a skilled and motivated Data Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust data infrastructure and scalable platforms that enable advanced analytics and machine learning across Investment Banking and Global Markets. You will collaborate with AI engineers and data scientists to deliver high-quality, data-centric solutions that empower business decisions.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a sustainable and scalable suite of AI-enabled data products and platforms for multiple business units. We leverage the latest data engineering and analytics technologies to solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

Design, develop, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of structured and unstructured data.

Implement distributed data processing solutions using technologies such as Spark, Kafka, and cloud-native services.

Ensure data integrity, reliability, and high availability in mission-critical workloads.

Model and design databases and data architectures to support advanced analytics, machine learning, and AI applications.

Develop and maintain ETL processes for transforming and loading data from diverse sources.

Deploy data infrastructure and distributed computing environments in the cloud using containerization (Docker, Kubernetes).

Monitor, benchmark, and tune data processing applications for optimal performance and scalability.

Collaborate with cross-functional stakeholders to understand business requirements and deliver tailored data solutions.

Implement robust testing, observability, and monitoring solutions to maintain system health and performance.

Stay current with technology trends, best practices, and industry standards in data engineering and platform development.

Qualifications

Bachelor's or Graduate degree in Engineering, Computer Science, Mathematics, Physics, or related quantitative discipline.

Strong programming skills in Python, Scala, or Java, with a passion for learning new technologies.

Expertise in distributed computing, stream processing, and application development using Spark and Kafka.

Proficiency in data modeling, database design, and ETL processes.

Experience deploying data solutions in cloud environments (AWS, Azure, GCP).

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

Excellent problem-solving and analytical skills with attention to detail.

Strong communication skills for collaboration with technical and business stakeholders.

Nice to Have

Financial domain knowledge: familiarity with investment banking concepts, trading strategies, and financial data formats (e.g., time series, tick data).

Experience with Generative AI or Agentic AI technologies, including integration into data-driven solutions.

What We Offer

Join our Data Cognition Team at BMO Capital Markets and help drive data innovation in investment banking and global markets. We offer opportunities for professional growth, access to cutting-edge technologies, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your experience in data engineering and distributed systems.

Base Salary: $90,000-$120,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.