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Data Science Graduate Jobs in Ontario (NOW HIRING)

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

Role Overview As a Data Scientist II in Business Banking , you will be responsible for designing ... science); graduate's degree preferred with progressive work experience * 3+ years of relevant ...

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

Graduate degree in computer science, software engineering, applied mathematics, data science, statistics, or related field. * 10+ years in analytics, data science, or related fields, with 5+ years in ...

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

The Data Scientist will be a core member of the Global AI/ML team, focused on creating value for ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

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Showing results 1-20

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 Jul 27, 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 types of projects and responsibilities can a Data Science Graduate expect in their first role?

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, and why are they important?

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 are Data Science Graduates?

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 June 2026, with employment types broken down into 1% As Needed, 92% Full Time, and 7% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,433 per year, or $42 per hour.
Data Scientist II

CA$81K - CA$115K/yr

Full-time

Posted 11 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Role Overview

As a Data Scientist II in Business Banking, you will be responsible for designing, developing, and delivering advanced analytics solutions that support data-driven decision making. You will collaborate closely with business owners, technology partners, and cross-functional teams to understand objectives, identify data needs, and deliver actionable insights that drive strategic improvement.

This role combines strong technical expertise, analytical thinking, and business partnership to translate complex business problems into scalable data assets, insights, and automated analytics that deliver measurable outcomes across operations and performance management.

Key Responsibilities

  • Leverage analytics, statistical modeling, machine learning, and data mining techniques to uncover insights, support data-driven decision-making, and optimize business outcomes.
  • Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
  • Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
  • Visualize insights from data to illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
  • Collaborate with other partners, such as AIML scientists, data and business analysts, and product owners to develop scalable solutions that retain long term benefit to the business.
  • Clearly communicate the value, principles and math behind the scientific process such as hypotheses testing and statistical validation to drive organizational excellence.
  • Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.

Requirements:

  • Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience
  • 3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
  • Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, PowerBI, Databricks, on large datasets with a track record of delivering business impact and results. SAS skills is considered an asset.
  • Strong problem-solving skills, with the ability to navigate ambiguous issues and deliver well-defined solutions.
  • Excellent communication skills, with experience presenting insights to executive leaders and business partners.
  • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our businesses.
  • Experience developing data-driven strategies, analytical frameworks, or decision-support solutions is considered a strong asset.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet