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Data Scientist Jobs in Quebec (NOW HIRING)

Credit Risk Data Scientist

Montreal, QC · Hybrid

  • Medical

  • Retirement

  • PTO

As a credit risk data scientist, you help meet the need for assessing credit risk in the granting and lifecycle of financing products. You lead practitioners on projects that develop and use credit ...

  • Medical

  • Dental

  • Life

Position Summary We are seeking a Senior Data Scientist with deep expertise across the full spectrum of modern AI - from classical predictive modelling to large language models, agentic AI systems ...

Showing results 41-60

Data Scientist information

See Quebec salary details

$40K

$119.9K

$188.5K

How much do data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data scientist in Quebec is $119,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

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 are popular job titles related to Data Scientist jobs in Quebec?

For Data Scientist jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Quebec look for?

The top searched job categories for Data Scientist jobs in Quebec are:

What are popular job titles related to Data Scientist jobs in QC?

For Data Scientist jobs in QC, the most frequently searched job titles are:

Infographic showing various Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,852 per year, or $57.6 per hour.

Data Scientist - AI Governance

Intact Financial

Montreal, QC • Hybrid

Full-time

Life, Retirement

Re-posted 15 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

94,200 - 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

10%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We're looking for a Data Scientist II to join our growing team!
What you'll do here:

  • Develop Innovative Solutions: Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets.
  • Data Transformation: Convert complex datasets into actionable insights and recommendations that can drive business strategy.
  • Stay Current: Keep up with the latest trends and methodologies in AI, analyzing metrics from usage of AI tools, transforming them into valuable insights, and maintaining dashboard to track those insights over time.
  • Tool and Platform Maintenance: Assist in maintaining and improving our data mining tools and platforms to ensure their efficiency and reliability.
  • Actionable Recommendations: Make strategic recommendations based on data analysis to support decision-making processes.
  • Cross-Department Collaboration: Work closely with other departments to promote the adoption of data-driven decision-making across the organization.
  • Quality Assurance: Validate the quality of analytical approaches and outputs produced by other team members and departments to ensure high standards.


What you bring to the table:

  • Degree in a relevant discipline (e.g. mathematics, engineering, operations research, statistics, geomatics, AI), or an equivalent combination of education and experience.
  • Minimum of 2 years of experience in advanced statistics, data mining, and text mining.
  • Technical Skills: Proficiency in multiple platforms, including commercial and open-source data mining frameworks such as Python and GitHub.
  • Experience with Large Language Models (LLMs) - integrating with APIs and evaluation techniques.
  • Machine Learning Expertise: Deep understanding of machine learning theories and methodologies.
  • Teamwork: Strong enthusiasm for working collaboratively in a team environment.
  • Problem-Solving: Ability to tackle vaguely defined problems with creative and innovative solutions.
  • Communication Skills: Excellent communication skills, both written and verbal, with the ability to convey complex information to non-technical stakeholders.
  • Time Management: Strong organizational and time management skills to handle multiple projects and meet deadlines.
  • For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English speaking colleagues across the country.
  • No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid


Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME