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Data Science Project Manager Jobs in Ontario (NOW HIRING)

Td

AI2 Data Science Associate

Toronto, ON · On-site

The Data Scientist Associate will perform a variety of activities, which may include: * Perform ... Experience with Data Management, Analytics, and Project Management is a plus. * Remain current with ...

Ontario 407

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation ... Organizational skills and time management skills; planning and project management, and ability to ...

Project X

Data Scientist (AI/ML)

Toronto, ON · On-site

Role Summary As a Consultant, Data Science at Project X Ltd., you will be providing our clients ... management. All hiring decisions involve human review and judgment. Employment Equity ...

Jamieson Wellness Inc.

Project Manager

Windsor, ON · Hybrid

Post-secondary education in business, science, project management or related field * Three years or more experience in a business environment * Demonstrated success in project management * Knowledge ...

Lincoln Institute of Land Policy

Reporting to the Associate Director of Data Science, the Senior Data Scientist will work closely with data scientists, AI engineers, cloud engineers, project managers, and subject-matter experts. The ...

Canacre

Project Manager

Markham, ON · On-site

Post-secondary degree in Biology, Engineering, Geology, Environmental Science, Project management or Business. * Minimum 5 years' professional services consulting experience, working with external ...

Nous Group

Apply your data science skills to help leaders solve Australia's most complex strategic challenges ... Nous Group is an international management consultancy with over 650 people working with clients ...

Stripe

Data Scientist, Fraud

Toronto, ON · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... A demonstrated ability to manage and deliver on multiple projects with a high attention to detail

Sun Life Financial

Senior Data Scientist

King, ON · On-site

Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities * Proven ability to mentor andguide junior data scientists and data engineers * Strong ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities * Proven ability to mentor andguide junior data scientists and data engineers * Strong ...

Sun Life Financial

Senior Data Scientist

King, ON · On-site

Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities * Proven ability to mentor andguide junior data scientists and data engineers * Strong ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities * Proven ability to mentor andguide junior data scientists and data engineers * Strong ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

Data Science and Machine Learning * Translate business goals into analytical problems ... Ability to work on multiple projects in parallel while managing constantly changing deadlines and ...

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Showing results 21-40

All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Ontario

Data Science Project Manager information

See Ontario salary details

$30K

$119.9K

$178.5K

How much do data science project manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science project manager in Ontario is $119,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

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

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

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

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

What job categories do people searching Data Science Project Manager jobs in Ontario look for?

The top searched job categories for Data Science Project Manager jobs in Ontario are:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $119,929 per year, or $57.7 per hour.

AI2 Data Science Associate

Td

Toronto, ON • On-site

Full-time

Posted 9 days ago

Job description

Role Type:

Undergraduate

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Pay Details:

80000 - 80000 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:

DEPARTMENT OVERVIEW

Our Associate Programs offer new graduates the opportunity to work in one of TD's many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

Associate Role Profile: Our Associates are full-time employees participating in an 18-month rotational program (two nine-month rotations) to gain exposure and experience to opportunities and to a variety of business areas within the Analytics Insights & AI team in-depth experience, complemented by programming, coaching, tools and support.

As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada!

JOB DESCRIPTION

The AI2 Associate Program is an 18-month rotational program enhanced development opportunity in analytics and data. 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 engineering

  • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences

  • Participate in projects supporting a broad range of data driven solutions by applying a variety of techniques to build out models. Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data

  • Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models

  • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches

  • Collaborate with business partners to support the business case development process for analytics solutions

JOB REQUIREMENTS

  • Must be graduated between May 2025 and May 2027 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.

  • Strong statistical and analytical skills and interest are necessary.

  • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.

  • Experienced in one or more of:

  • Big Data - Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation

  • Machine Learning - Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.

  • Reading and comprehending data schemas, metadata, entity relationship diagrams and other technical documentation

  • Technical knowledge or experience with Cloud environments (MS Azure is a plus) as well as experience with Data Management.

  • Strong technical knowledge and experience with at least one of: Python, Spark/PySpark, SQL, R, Java, C/C++, Alteryx or Tableau

  • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.

  • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment. Experience presenting in front of big crowds/senior leadership is a plus.

  • 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 key businesses.

  • Experience with Data Management, Analytics, and Project Management is a plus.

  • Remain current with emerging trends and technologies in this field.

ADDITIONAL INFORMATION

  • Anticipated Start Date: January 2027 (pending academic completion)

  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

  • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

  • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.

HOURS

Monday-Friday, standard business hours.

INCLUSIVENESS

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

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

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