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Manager Data Scientist Jobs in Quebec (NOW HIRING)

Senior AI Scientist

Longueuil, QC · Hybrid

  • Medical

  • Retirement

In the Data Management sector, you will be part of a multidisciplinary team of 25 passionate AI ... Bachelor's or master's degree in computer science, mathematics, artificial intelligence or a ...

New

Senior AI Scientist

Montreal, QC · Hybrid

  • Medical

  • Retirement

In the Data Management sector, you will be part of a multidisciplinary team of 25 passionate AI ... Bachelor's or master's degree in computer science, mathematics, artificial intelligence or a ...

New

Senior AI Scientist

Laval, QC · Hybrid

  • Medical

  • Retirement

In the Data Management sector, you will be part of a multidisciplinary team of 25 passionate AI ... Bachelor's or master's degree in computer science, mathematics, artificial intelligence or a ...

New

Senior AI Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

In the Data Management sector, you will be part of a multidisciplinary team of 25 passionate AI ... Bachelor's or master's degree in computer science, mathematics, artificial intelligence or a ...

New

Senior AI Scientist

Montreal, QC · Hybrid

  • Medical

  • Retirement

In the Data Management sector, you will be part of a multidisciplinary team of 25 passionate AI ... Bachelor's or master's degree in computer science, mathematics, artificial intelligence or a ...

New

Data Engineer

Montreal, QC · On-site

  • Retirement

  • PTO

You will partner with Engineers, Product Managers, and Data Scientists to deliver high-quality data solutions that support business needs. WE ARE HOPING YOU HAVE * Education Bachelor's or Master ...

Data Governance Analyst

Quebec, QC · On-site +1

CA$126/hr

University degree in computer science, information management, data science, or a related field * 3 to 5 years of experience in data governance or information management * Knowledge of Data Ownership ...

Data Analyst

Montreal, QC · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ...

Manage and coach the individual Chapter Area Leads and Team Leads for Data Science, Data Engineering, Data Architecture, and Data Analytics, guiding them to balance operational output with functional ...

Partner with the Research team to define, build, automate, scale, and manage data pipelines that transform raw web-scale data into training datasets for the Scientist AI. * Build and maintain data ...

Showing results 41-60

Manager Data Scientist information

See Quebec salary details

$25K

$118.9K

$195.5K

How much do manager data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for manager data scientist in Quebec is $118,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

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

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Quebec?

The most popular types of Data Scientist jobs in Quebec are:

What cities in Quebec are hiring for Manager Data Scientist jobs?

Cities in Quebec with the most Manager Data Scientist job openings:

Infographic showing various Manager Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,856 per year, or $57.1 per hour.

AI Scientist Generative AI & Agentic Systems

National Bank

Montreal, QC • On-site, Remote

Full-time

Medical, Retirement

Posted 2 days ago

New


Job description

A career as an AI Scientist on the AI Value Creation team at National Bank means acting as a subject matter expert in artificial intelligence, machine learning, generative AI, and agentic systems. In this role, you will have a direct impact on the client experience, employee experience, and organizational performance by leveraging your expertise to develop innovative data-driven and AI-powered solutions. Your job Design, train, and optimize machine learning models that address strategic business needs. Develop generative AI and agentic AI solutions using large language models (LLMs), retrieval-augmented generation (RAG) architectures, and multi-agent systems. Collaborate with business partners to identify value creation opportunities and translate business needs into practical solutions. Develop and maintain the technical components required to train, evaluate, deploy, and continuously improve AI solutions. Conduct rigorous assessments to ensure the performance, robustness, and reliability of models in production environments. Support and guide teams and partners in adopting AI best practices, governance frameworks, and risk management principles. Your Team The Data and Analytics Vice-Presidency brings together specialists who work in an agile, proactive, and collaborative environment to seize opportunities, stay at the forefront of technological innovation, and continuously improve processes. Within the Personal Banking Data Management and Value Creation sector, you will join a team of seven colleagues and report to the Senior Director, AI Delivery. Our team stands out for its expertise in generative AI, collaborative mindset, and ability to rapidly transform business opportunities into value-generating solutions. We strive to offer you maximum flexibility to support your quality of life. This includes a hybrid work environment, as well as a flexible and adaptable work schedule. National Bank values ongoing development and internal mobility. Our personalized training programs, based on learning through action, allow you to deepen your expertise and develop new skills throughout your career. Resources such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring opportunities are available to you at all times. Prerequisites Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, Operations Research, or a related field. 3 to 5 years of experience developing, training, validating, and deploying machine learning models in production environments. Hands-on experience with generative AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG) architectures, or agentic systems. Strong proficiency in Python and SQL for developing analytics and AI solutions. Experience with cloud environments and development tools such as AWS, Snowflake, Git, GitHub Copilot, and Jenkins. Demonstrated ability to work on multidisciplinary initiatives that combine technical expertise with business needs. Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as: * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees. We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team? Join us!