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Data Science Manager Jobs in Quebec (NOW HIRING)

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

... data science * Proficiency in retail credit products and risk management * Proficiency in ... statistical/econometric and machine learning models * proficiency in SAS/SQL statistical ...

National Bank

Senior Data Scientist

Montreal, QC · On-site +1

... data science * Proficiency in retail credit products and risk management * Proficiency in ... statistical/econometric and machine learning models * proficiency in SAS/SQL statistical ...

National Bank

Senior Data Scientist

Montreal, QC · Hybrid

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a model validation specialist. This position allows you to have a positive impact on our organisation ...

National Bank

Senior Data Scientist

Montreal, QC · Hybrid

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a model validation specialist. This position allows you to have a positive impact on our organisation ...

National Bank

Senior Data Scientist

Montreal, QC · Hybrid

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a model validation specialist. This position allows you to have a positive impact on our organisation ...

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See Quebec salary details

$80.5K

$153K

$207K

How much do data science manager jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data science manager in Quebec is $152,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $183,000.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

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 job?

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 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

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 project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

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 Quebec? The most popular types of Data Science jobs in Quebec are:
What are popular job titles related to Data Science Manager jobs in Quebec? For Data Science Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Quebec look for? The top searched job categories for Data Science Manager jobs in Quebec are:
What cities in Quebec are hiring for Data Science Manager jobs? Cities in Quebec with the most Data Science Manager job openings:
Data Science Manager jobs near you

Senior Data Scientist

National Bank

Montreal, QC • On-site, Remote

Full-time

Medical, Retirement

Posted 11 days ago

Job description

A career as a Senior Data Scientist in the modelling and risk strategies team It means using behavioural data to develop limit management decision-making strategies to support business line growth objectives as well as projects to develop risk modelling practises at the Bank.

Your job:
  • Develop statistical models and decision-making strategies in a business context for consumer loans. Strategies aim to make the best decision based on credit risk in order to maximise the profitability of the model.
  • Communicate and document the progress of your work in an agile way in project follow-up workshops with our partners in risk management and business lines
  • Draft the documents needed to approve strategies.
  • Implement strategies and coordinate with our it manager to implement strategies and carry out acceptance tests
  • Frequently assess the performance of the models/strategies implemented and present recommendations for better risk optimisation and loans in Champion/Challenger mode.
Your team:

Join a dynamic team of 12 advanced analytics specialists. We are responsible for all modelling activities and risk strategies for credit cards, retail financing and SMEs. We cover credit origination and life cycle activities. You will report to the Senior Manager - risk models and strategies.

Our goal is to offer you maximum flexibility in your work to promote your quality of life. This includes hybrid work in the office and remotely, working hours to reconcile work and personal life, and flexible leave at times that matter.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites:
  • Bachelor’s or master’s degree in a quantitative field, 2 to 3 years of experience in modelling, decision-making strategies or any other relevant role in data science
  • Proficiency in retail credit products and risk management
  • Proficiency in statistical/econometric and machine learning models
  • proficiency in SAS/SQL statistical programming tools (R or Python).
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!

Apply