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Data Science Manager Jobs in Toronto, ON (NOW HIRING)

Konrad

Data Architect

Toronto, ON · Hybrid

CA$120K - CA$150K/yr

  • Medical

  • Retirement

... science libraries and frameworks * Solid foundation in statistics, probability, and machine learning techniques * Experience designing and managing the build-out of cloud-based data platforms and ...

Intact Financial

Senior Data Scientist

Toronto, ON · Hybrid

  • Medical

  • Retirement

Lead and enforce data science best practices: coding, peer-review, experimentation and testing ... Strong communication, time management and work organization skills. * No Canadian work experience ...

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

Experience leading data science teams. * Ability to work independently and manage multiple projects simultaneously. * Strong problem-solving skills and attention to detail. * Excellent communication ...

BMO Capital Markets

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

  • Medical

  • Life

  • Retirement

... management. Visualize complex data clearly and concisely for business consumption. Qualifications Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ...

Rogers Communications

Principal Data Scientist

Brampton, ON · On-site +1

  • Medical

  • Dental

  • Retirement

  • PTO

Are you passionate about using data science, AI, and wireless network expertise to solve complex ... Ability to manage multiple priorities in a dynamic environment while maintaining focus on high ...

Rogers Communications

Principal Data Scientist

Brampton, ON · On-site +1

  • Medical

  • Dental

  • Retirement

  • PTO

Are you passionate about using data science, AI, and wireless network expertise to solve complex ... Ability to manage multiple priorities in a dynamic environment while maintaining focus on high ...

Intact Financial

Data Scientist II

Mississauga, ON · On-site

  • Life

  • Retirement

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Strong communication, organizational, and time management skills in a multi-project environment.

Intact Financial Corporation

Data Scientist II

Ajax, ON · On-site

  • Life

  • Retirement

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Strong communication, organizational, and time management skills in a multi-project environment.

BMO Capital Markets

Vice President, Data Scientist

Toronto, ON

CA$120K - CA$150K/yr

  • Medical

  • Life

  • Retirement

... management. Visualize complex data clearly and concisely for business consumption. Qualifications Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ...

Intact Financial

Data Scientist II

Ajax, ON · On-site

  • Life

  • Retirement

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Strong communication, organizational, and time management skills in a multi-project environment.

Intact Financial

Data Scientist II

Toronto, ON · On-site

  • Life

  • Retirement

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Strong communication, organizational, and time management skills in a multi-project environment.

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Toronto, ON

Data Science Manager information

See Toronto, ON salary details

$76.8K

$146K

$197.5K

How much do data science manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science manager in Toronto, ON is $145,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,429.00 and $174,644.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Toronto, ON? The most popular types of Data Science jobs in Toronto, ON are:
What are popular job titles related to Data Science Manager jobs in Toronto, ON? For Data Science Manager jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Toronto, ON look for? The top searched job categories for Data Science Manager jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Science Manager jobs? Cities near Toronto, ON with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $145,991 per year, or $70.2 per hour.

Data Architect

Konrad

Toronto, ON • Hybrid

CA$120K - CA$150K/yr

Full-time

Medical, Retirement

Re-posted 14 hours ago

Job description

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.

You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.

What You'll Do

  • Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
  • Explore, analyze, and prepare large datasets for modeling and experimentation
  • Design, build, and validate statistical, predictive, and machine learning models
  • Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
  • Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
  • Lead data modernization & migration projects at large enterprises
  • Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
  • Stay current with emerging data science, AI, and machine learning techniques and tools

Qualifications

  • Minimum 5+ years of experience in a data science, machine learning, or solution architect roles
  • Strong proficiency in Python (or similar) and experience with data science libraries and frameworks
  • Solid foundation in statistics, probability, and machine learning techniques
  • Experience designing and managing the build-out of  cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift)
  • Familiarity with model deployment, monitoring, and lifecycle management
  • Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
  • Experience collaborating with data engineering teams on production-grade solutions
  • Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in
  • Excellent communication and presentation skills
  • Experience working in agile, consulting, or cross-functional environments

Perks and Benefits

  • Comprehensive Health & Wellness Benefits Package
  • Socials, Outings & Retreats
  • Retirement Planning
  • Parental Leave Program
  • Annual tech & travel allowance
  • Culture of Learning & Development
  • Flexible Working Hours
  • Work from Home Flexibility
  • Service Recognition Programs

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $120,000 to $150,000. This is an estimate and a compensation offer will vary based on applicant's education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

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