ZipRecruiter

Log In

1

Head Data Science Jobs in Ontario (NOW HIRING)

Genentech

Head, Resourcing & Metrics

Mississauga, ON · On-site

... Data Sciences (PDD). The function ensures organizational excellence through robust quality ... The Head of Resourcing & Metrics within the Business Strategy & Operations (BSO) function is ...

Moonshot

Head of AI Safety

Toronto, ON · Remote

This is not an engineering or data-science role, but it is a hands-on position requiring the ... The Head of AI Safety will build and maintain relationships across the wider AI safety ecosystem ...

Maarut

Background in Computer Science, Data Science, or AI\/ML (student or recent grad is good). \n * Familiarity with Python and libraries like pandas, scikit\-learn, or PyTorch. \n * Exposure to LLM ...

U Education Management Pvt. Ltd.

We\- re one of the few applications of AI\/ data science that actually has a massive market and business model to create a long term valuable business rather than a short\-term acquisition play! \n

Esf

Master's or advanced Bachelor's degree in Education Data Science, Learning Sciences, Learning ... head of department, etc.) within ESF. ESF is an Equal Opportunities Employer The English Schools ...

Monograph

Head of Marketing Operations

Toronto, ON · On-site

$282 - $423/hr

What you'll do We are looking for a Head of Marketing Operations to lead a critical team to help ... Data Science. You will be directly responsible for a global marketing operations team of 15-20, in ...

previous pagenext page

Showing results 21-40

All JobsHead Data Science JobsHead Data Science Jobs in Ontario

Head Data Science information

See Ontario salary details

$22.5K

$110.1K

$204K

How much do head data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for head data science in Ontario is $110,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

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 cities in Ontario are hiring for Head Data Science jobs?

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

Head Data Science jobs near you
Infographic showing various Head Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,123 per year, or $52.9 per hour.

Senior Director, Data & AI, Wealth Management Canada

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Posted 9 days ago

Job description

Job Description

What is the opportunity?

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management's global businesses. Central to the AI roadmap is an AI powered Wealth Advisor Assistant that will deliver differentiated AI capabilities to over 6,000 wealth management professionals.

As the Sr. Director, Data & AI, you will be responsible for driving the strategic design, management, and implementation of this multi-year, high impact program in Canada. You will leverage best in class GenAI, AI, and ML capabilities to deliver new insights and capabilities with global reach. You will also be responsible for field and head office business intelligence as well as our data strategy, data strategy and platform.

What will you do?

  • Lead the definition, discovery, and roadmap development for a series of AI & GenAI capabilities in WM Canada, including products for time liberation and direct value generation

  • In collaboration with regional Data & AI leads, deliver both foundational capabilities and customized products supporting advisors

  • Assist in the adoption of AI and a culture of data driven decision making across WM

  • Lead the Business Intelligence function for Wealth Management Canada, enabling both advisors and head office to make better data driven decisions

  • Further our data strategy, building on a strong foundation to enable both AI and self-serve capabilities across the platform

  • Provide leadership and guidance to a team of highly qualified AI researchers and engineers, product managers, and business intelligence developers. Ensure time is allocated for personal development and growth. In addition, manage workload across the team to ensure a set amount of time is allocated to drive new and innovative product work

What do you need to succeed?

Must-have:

  • Master's Degree in computer science or related technical field

  • 7+ years of experience leading high-impact machine learning solutions in a product-centric environment

  • Proven experience across the entire development lifecycle, including prototyping, strong collaboration with stakeholders, and productizing

  • Ability to lead and develop AI researchers and engineers through executing on enterprise product builds

  • Strong foundation in ML & GenAI

  • Background in BI an asset

Nice-to-have:

  • Familiarity with Wealth Management

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Flexible work/life balance options

  • Opportunities to do challenging work

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-27

Application Deadline:

2026-09-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

Apply