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Data Scientist Project Manager Jobs in Ontario (NOW HIRING)

Manulife

Data Scientist

Toronto, ON · Hybrid

Join our Canadian AI team as a Data Scientist, where you'll apply advanced analytics, machine ... management activities. * Understand how assigned projects support broader business strategy ...

New

Ontario 407

Data Scientist

Woodbridge, ON · On-site

CA$85K - CA$115K/yr

Title: Data Scientist Department: Data Science and Analytics Location: 6300 Steeles Ave West ... Organizational skills and time management skills; planning and project management, and ability to ...

Genentech

Senior Data Scientist

Mississauga, ON · On-site

CA$156K - CA$290K/yr

Problem-Solving and Project Management: Strong analytical and problem-solving skills, ability to ... in statistics and data science, and passionate about continuous improvement and learning.

Ontario 407

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

Senior Data Scientist Department: Data Science and Analytics Location: 6300 Steeles Ave West ... Organizational skills and time management skills; planning and project management, and ability to ...

Larus Technologies

Data Scientist

Ottawa, ON · On-site

Experience managing client expectations while balancing project scope, timelines, and priorities ... Data Science.​ We invite enthusiastic and qualified applicants to submit their cover letter and ...

Stripe

Data Scientist, Fraud

Toronto, ON

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

Spgi

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and ...

Spgi

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and ...

S&P Global

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and ...

Meridian Credit Union

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Experience in developing and managing ETL pipelines. * Strong analytical and problem-solving skills with the ability to interpret complex data sets. * Good verbal and written communication skills ...

Stripe

Data Scientist, Link

Toronto, ON

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

Canadiantirecorporation

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

... projects that drive origination, credit limit and collection strategies including managing delivery ... University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ...

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

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 ...

Canadian Tire

Data Scientist

Oakville, ON

CA$53K - CA$88K/yr

... projects that drive origination, credit limit and collection strategies including managing delivery ... University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ...

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All JobsData Scientist Project JobsData Scientist Project Manager JobsData Scientist Project Manager Jobs in Ontario

Data Scientist Project Manager information

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

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

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

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

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

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

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

What cities in Ontario are hiring for Data Scientist Project Manager jobs?

Cities in Ontario with the most Data Scientist Project Manager job openings:

Data Scientist Project Manager jobs near you
Infographic showing various Data Scientist Project Manager job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Scientist

Manulife

Toronto, ON • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Join our Canadian AI team as a Data Scientist, where you'll apply advanced analytics, machine learning, generative AI, and emerging agentic AI techniques to solve complex business challenges and deliver actionable insights that drive strategic decision-making. In this role, you will work with large and complex datasets across multiple systems, develop data-driven and AI-enabled solutions that improve business processes, and help evaluate new AI capabilities for practical business use.

You'll collaborate closely with subject matter experts, AI Product Managers, Agentic Engineers, and technology partners to understand business needs, customer journeys, data sources, and solution requirements, while contributing to projects that support broader organizational goals.

Position Responsibilities:

  • Develop analytics, machine learning, and generative AI solutions that improve business processes and support strategic decisions.
  • Analyze large, complex datasets to uncover actionable insights, business opportunities, and measurable value drivers.
  • Apply statistical modeling, machine learning, experimentation, and AI evaluation techniques to solve business problems.
  • Support testing of AI assistants, copilots, RAG solutions, and agentic workflows in partnership with technology and engineering teams.
  • Communicate results of moderate complexity to business partners and recommend solution options to senior data science team members.
  • Lead end-to-end data science projects of moderate scope, from problem framing through analysis and recommendation.
  • Connect and integrate data across multiple systems to support data-driven and AI-enabled decision-making.
  • Partner with subject matter experts to understand business processes, data sources, customer journeys, and adoption needs.
  • Document analytical methods, assumptions, limitations, and technical decisions clearly, including support for peer review, governance, and model risk management activities.
  • Understand how assigned projects support broader business strategy, including the core drivers of business value, adoption, and decision quality.
  • Share technical expertise, contribute to best-practice development, and support a collaborative, knowledge-sharing culture across the data science team.

Required Qualifications:

  • Advanced degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Artificial Intelligence, or related field; or Bachelor's degree with equivalent technical experience.
  • Minimum of 2 years of applicable experience in data science, advanced analytics, machine learning, or AI solution development.
  • Strong programming capability in Python, R, or similar analytical programming languages; SQL experience strongly preferred.
  • Working knowledge of statistical modeling, machine learning algorithms, experimental design, and model evaluation techniques.
  • Applied understanding of exploratory data analysis, data wrangling, feature development, data visualization, model production concepts, and insight generation.
  • Familiarity with generative AI, LLMs, prompt engineering, embeddings, RAG, or AI evaluation approaches.
  • Ability to analyze structured and unstructured data and translate findings into business recommendations.
  • Strong communication skills with the ability to explain analytical concepts to technical and non-technical stakeholders.

Preferred Qualifications:

  • Experience with Azure, Databricks, Git, MLflow, or cloud-based analytics environments.
  • Familiarity with vector databases, semantic search, embeddings, or knowledge retrieval methods.
  • Exposure to LangChain, LangGraph, Semantic Kernel, or similar agentic AI frameworks.
  • Experience supporting experimentation, proof-of-concepts, MVPs, or AI product development.
  • Understanding of Responsible AI, model governance, privacy, security, and risk considerations in regulated environments.

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we'll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$94,430.00 CAD - $144,430.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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