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Data Science Intern Jobs in Ontario (NOW HIRING)

Apply your data science skills to help leaders solve Australia's most complex strategic challenges and navigate transformational change. This role offers the opportunity to work across diverse ...

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation: $85,000-$115,000 Position Summary: The successful candidate will assist in leveraging customer ...

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models AI and Data Science research and development * Research, code, develop and implement ...

The Data Engineer / Data Science Specialist builds and automates the data foundation that the Engine and its initiatives rely on: cloud-based data pipelines, lake/Lakehouse structures, analytics ...

The Data Scientist Associate will perform a variety of activities, which may include: * Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature ...

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make ...

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning models focused on Anti-Money Laundering and crypto ...

CA$154K - CA$247K/yr

Hands on experience in data science with a strong focus on financial crime, AML, or fraud detection, and a demonstrated ability to lead teams while remaining an active hands‑on contributor.

Collaborate with cross-functional teams to translate business problems into robust data science solutions. * Support best practices in model development, experimentation, documentation, and data ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Collaborate with cross-functional teams to translate business problems into robust data science solutions. * Support best practices in model development, experimentation, documentation, and data ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Showing results 21-40

Data Science Intern information

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Ontario?

The most popular types of Data Science jobs in Ontario are:

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

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

What cities in Ontario are hiring for Data Science Intern jobs?

Cities in Ontario with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist III (Financial Crimes Network Analytics)

Td

Toronto, ON • On-site

CA$96K - CA$136K/yr

Full-time

Posted 6 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$96,900 - $136,800 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:

R_1504116 Data Scientist III ( Financial Crimes Network Analytics )

Summary

Join the Advanced Analytics & Insights team within Financial Crimes Risk Management (FCRM) Canada to advance an innovative Financial Crimes Network Threat Detection & Prioritization capability.

This high-impact initiative focuses on uncovering hidden high-risk customer connections that conventional detection methods often miss, enabling effective risk identification, prioritization, and strategic insights.

The Data Scientist III will lead the enhancement & operationalization of this detection capability, primarily including developing analytical detection methods, generating risk insights, building visualization and decision-support tools for business users.

Key Accountabilities

Financial Crime Analytics & Detection

  • Translate financial crime typologies into detection strategies, generate hypothesis, design analytical approaches, develop querying logic, and validate findings through data analysis.
  • Perform periodic Exploratory Data Analysis to identify emerging risk patterns, customer characteristics, and risk operation insights.
  • Synthesize and present data-driven findings and recommendations to technical and non-technical audiences.

Technical Solutions & Operationalization

  • Design and develop interactive visualization and decision-support tools that allow business users to explore identified high-risk networks, understand risk drivers, and interpret analytical outputs.
  • Automate recurring operational workflows to improve scalability and efficiency.

Modelling & Innovation

  • Develop, calibrate, and test supervised-learning model(s) for network ranking
  • Monitor model performance, evaluate existing modelling methodologies and practices, and develop new detection methodologies and analytical approaches

Ad-hoc Analysis

  • Translate business problems into structured analytical problems and develop practical solutions
  • Conduct ad-hoc analysis including such as root-cause analysis and impact analysis to meet business objectives
  • Perform independent analytical review and effective challenge of existing methodologies and analytical solutions; assess assumptions, data, results, and business implications and provide constructive recommendations for enhancement
  • Contribute to documentation, governance, controls, and ongoing monitoring required

Stakeholder Management

  • Collaborate with internal team members, business users, and data engineers, technology teams, and other partners to deliver solutions.

Qualifications & Skills

  • Core skills: SQL, Python for data analytics; statistics;
  • ML/AI modelling experience, Large Language Modelling experience, AI agentic experience are bonus.
  • Domain knowledge: Anti-financial crime (money laundering, terrorist financing), regulatory and governance knowledge and working experience are beneficial but not required; training and guidance will be provided.
  • Education: Bachelor's degree in STEM (e.g., Science, Technology, Engineering, Mathematics, Statistics, Data Science, Economics).
  • Work Experience: 1 year or above, intern / co-op experience in analytical fields is counted.

Why join us

  • Anti-Money Laundering (AML) is TD Bank's current top one priority. Support the bank's one of the most essential objectives through a high-impact analytical initiative with visibility across senior leadership.
  • Contribute to an industry-leading capability from an early stage with opportunities to influence future direction on how the bank manages financial crime risks.
  • Work at the intersection of data science, anti-financial crime, and strategic decision making.
  • Receive mentorship and career development support in both business and technical lens, including but not limited to advanced analytics, machine learning/AI, product design & management, stakeholder influence, and leadership development.

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