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

Senior Data Scientist

Woodbridge, ON ยท On-site

CA$120K - CA$165K/yr

Raise awareness and action of data science within the company to help focus on fact-based decisions. * Support the Department along with the Information Technology Management Department in planning ...

New

Data Scientist 2

Toronto, ON ยท Hybrid

CA$84K - CA$126K/yr

  • Medical

  • Retirement

Participate in the data science lifecycle from understanding the business problem, to data extraction, to model development, to production deployment and change management * Perform data extraction ...

Senior Data Scientist

Toronto, ON ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... managing cloud-based solutions to ensure scalability, security, and performance. * Build and ... D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related ...

Full Stack Data Science Engineer

Toronto, ON ยท On-site

CA$120K - CA$154K/yr

Strong relationship management, storytelling, and business communication skills for senior ... advanced analytics, data science, or applied AI/ML in domains such as financial services ...

Senior Data Scientist - GenAI

Toronto, ON ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D. in Computer Science, Data Science, Statistics, Engineering, or a related field. * 5+ years of ... control management, build processes, testing, and operations. * Strong collaboration and ...

Senior Data Scientist

Toronto, ON ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead client consultations as the primary data science expert, translating complex statistical ... Client & Stakeholder Management * Present findings and recommendations directly to C-suite ...

Data Scientist

Oakville, ON ยท On-site

CA$53K - CA$88K/yr

  • Retirement

... senior management * Work on related tasks and ad hoc activities to support business objectives What you bring: * University degree in STEM or data science. Postgraduate degree in mathematics ...

Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data ...

Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data ...

Showing results 21-40

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:
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 Scientist, Tax Transformation Office

BDO Canada

Toronto, ON โ€ข On-site

Full-time

PTO

Re-posted 7 days ago


Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

We are seeking a highly skilled and business-oriented Data Scientist to join the Tax R&D Lab within the Tax Transformation Office and help shape the future of how Tax operates across the practice.

The Tax R&D Lab serves as the experimentation, innovation, and solution development engine supporting the broader Tax Transformation roadmap and Total Tax Ecosystem vision. Working alongside other functions within the Tax Transformation Office - including Transformation Relationship Management (TRM), Data & Analytics, and Innovation & Change (I&C) - this role will help identify, prototype, build, and scale intelligent solutions that modernize workflows, improve operational efficiency, and enhance client outcomes across Tax.

This is a net new role that will focus on applying data science, artificial intelligence, machine learning, and advanced analytics to solve complex business problems, modernize workflows, and unlock new opportunities across the practice.

This is not a traditional reporting or analytics role. We are looking for someone who can combine deep technical expertise with strong business understanding, innovation mindset, and practical execution capability.

Key Responsibilities:

AI, Machine Learning & Advanced Analytics

  • Design, build, train, and optimize machine learning and AI models to support Tax transformation initiatives

  • Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics, and automation capabilities

  • Support experimentation and prototyping of emerging AI technologies and use cases within Tax

  • Evaluate model performance, explainability, reliability, and responsible AI considerations

  • Contribute to development of scalable AI-enabled workflows and intelligent operational solutions

Cross-Functional Collaboration & Business Partnership

  • Partner closely with Transformation Relationship Managers (TRMs), Tax practitioners, Innovation & Change (I&C), Data & Analytics, and leadership teams

  • Contribute to multidisciplinary teams focused on solving business problems through technology, AI, automation, and workflow redesign

  • Support rapid experimentation, prototyping, and scaling of innovative solutions within the Tax R&D Lab

  • Help bridge strategy, business operations, and technical execution to accelerate transformation outcomes

  • Translate complex business problems into practical analytical and AI-driven solutions

  • Participate in discovery sessions, design thinking workshops, ideation activities, and working groups

Data Engineering & Platform Enablement

  • Collect, clean, transform, and analyze large and complex datasets from multiple sources

  • Build and maintain scalable data pipelines and model integration frameworks

  • Support connected data and intelligence capabilities aligned to the broader Total Tax Ecosystem strategy

  • Work with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalization

  • Collaborate with engineering teams to productionize and operationalize solutions

Innovation & R&D Collaboration

  • Work closely with the Tax R&D Lab to validate concepts, prototype solutions, and scale successful initiatives

  • Stay informed on emerging trends across AI, automation, tax technology, data science, and intelligent systems

  • Help evaluate external tools, platforms, and ecosystem opportunities relevant to Tax Transformation

  • Contribute to a culture of experimentation, innovation, and continuous improvement

Qualifications & Experience

  • Master's degree or PhD in Computer Science, Data Science, Machine Learning, AI, or related quantitative discipline preferred

  • 3+ years of experience building and deploying machine learning or AI solutions in production environments

  • Strong proficiency in Python and modern data science libraries including Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch

  • Experience with NLP, generative AI, LLMs, vector databases, embeddings, or knowledge graph technologies preferred

  • Experience with SQL and NoSQL databases and scalable data architectures

  • Familiarity with cloud platforms such as Azure, AWS, or GCP

  • Experience with MLOps, model deployment, APIs, and scalable AI infrastructure considered an asset

  • Strong communication skills with ability to explain technical concepts to non-technical stakeholders

  • Experience working in transformation, consulting, innovation, or business-facing environments considered an asset

Ideal Candidate Will Have

  • Strong business curiosity and problem-solving mindset

  • Passion for applying AI and data science to practical operational challenges

  • Ability to balance experimentation with scalable execution

  • Strong collaboration and stakeholder engagement skills

  • Interest in workflow modernization, intelligent automation, and future-state operating models

  • Comfort operating in fast-paced and evolving transformation environments

  • Passion for continuous learning and emerging technologies

Why Join the Tax Transformation Office?

You will help shape the future of Tax through AI-enabled transformation and intelligent modernization initiatives that directly impact how the business operates.

This role offers exposure to:

  • Enterprise AI and transformation initiatives

  • Emerging technologies and advanced analytics

  • Workflow modernization and intelligent automation

  • Cross-functional collaboration with Tax, Innovation & Change, and leadership teams

  • High-impact, business-facing innovation initiatives

  • Most importantly, you will have the opportunity to build solutions that drive meaningful operational and client impact across the practice.

The expected range of compensation for this role is: $64,000 to $96,000


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.

  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.

  • We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.


Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.


Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out ourcareers page.