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Data Science New Grad Jobs in Ontario (NOW HIRING)

Manager, Data Science

Toronto, ON · Hybrid

CA$90K - CA$100K/yr

Data Science and AI Position Summary We are hiring a Data Science Manager to lead project delivery ... Contribute to proposal development and statements of work for new and existing client engagements.

Data Science is at the heart of Lyft's products and decision-making. You will leverage data and ... What new airport product features can we introduce to grow rider demand? * Are we able to forecast ...

Software Developer, New Grad

Toronto, ON · On-site

CA$90K - CA$92K/yr

Implement data exchange methods and standards and develop prototypes in collaboration with product ... Bachelor's or advanced degree in computer science or a related discipline * A solid grasp of ...

Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science ... Design and evaluate statistically rigorous experiments to assess new models, features, and credit ...

Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who ... Data Science and Machine Learning * Translate business goals into analytical problems;

... new AI capabilities for practical business use. You'll collaborate closely with subject matter ... Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ...

... new AI capabilities for practical business use. You'll collaborate closely with subject matter ... Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ...

... new AI capabilities for practical business use. You'll collaborate closely with subject matter ... Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ...

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation ... new customer related data fields. Qualifications: * Experience with Python, SQL, Tableau/PowerBI ...

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Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

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

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

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

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

What cities in Ontario are hiring for Data Science New Grad jobs?

Cities in Ontario with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in Ontario as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Associate, Data Scientist - New Grad, 2027 Start

Toronto, ON • Hybrid

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

CA$110K/yr

Full-time

Posted 3 days ago

New


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Data Scientist - New Grad, 2027 Start

MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.

About Capital One Canada

For 30 years, we've been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated.

You'll be empowered to grow your career in a supportive environment where you can own and shape your journey on your own terms. You'll redefine what's possible by contributing to work that impacts millions of Canadians, taking ownership of your decisions and outcomes, supported by mentors who will push you to think bigger and challenge the status quo.

Are you ready to redefine what's next?

About the Team

Capital One is more than you think. We're a data-driven tech company that just happens to do credit cards. We focus on customer-first solutions, and we're united with this common goal. We have all the advantages of a startup, with the resources of a big company. Working here means you're curious, innovative spirit will be encouraged as you push boundaries and try new things, while your career is nurtured and supported. Our environment is creative and filled with teams that are passionate about the dynamic work they're doing. We're ahead of other banks in tech and we want to keep it that way.

About the Role

As a Data Scientist Associate, you will work with cross-functional teams to leverage model solutions to solve complex business problems. As a data savvy individual, you will use your skills to identify the best algorithm or model to solve the problem at hand. You will have autonomy to take ownership and lead an end to end project, from problem identification to solution deployment.

Types of projects the Data Science team is involved in:

  • Using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns

  • Exploring new proprietary data sources and creating predictive models or customer behavior

  • Applying machine learning techniques to build financial risk models

  • Create and test algorithms to optimize search engine marketing

  • Design and develop data pipelines and visualizations to monitor model performance and data quality

Be ready to join a community with some of the most talented people you've ever met, who see the customer first, and want to use their skills to make a difference. And, as a founder-led company, we're inspired to make, break, and do good. So, let's create something great together.

Your Responsibilities:

  • Using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns

  • Exploring new proprietary data sources

  • Applying machine learning techniques to build models that predict customer behaviour

  • Design and develop data pipelines and visualizations to monitor model performance and data quality

Basic Qualifications:

  • Will have obtained a Bachelor's degree or higher in 2027.

  • Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong coding background

  • Experience using Python

  • Ability to clearly explain technical concepts to a non-technical audience

Preferred Qualifications:

  • Experience in a Linux environment

  • Experience using Git or other version control systems

  • Experience with AWS or other cloud service providers

  • Excellent verbal and written communication skills

  • Previous intern experience

Working at Capital One

Here you'll uncover personal strengths, explore new interests and make an impact that matters. The work you'll find here will keep you inspired and guide you in your career journey.

  • Take ownership of your own potential: As you begin your career, you'll define your own path by gaining exposure across the business, learning new skills, and having access to tools and mentorship to understand your potential.

  • Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model - with 3 days in the office per week - that gives room for both collaboration and personal commitments.

  • A supportive community from day one: Through our robust onboarding program, orientation sessions, buddy program for new hires and early career development programs, you'll get foundational training while building connections with your peers and leaders - cultivating a supportive community you can lean on for support and guidance.

You'll find that Capital One is committed to helping you thrive and evolve every step of the way.

This posting is for an existing vacancy.

The expected annual salary for this position is $110,000. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.

Weembrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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