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Data Jobs in Quebec (NOW HIRING)

Bounteous

Data Scientist

Montreal, QC · On-site

Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Responsibilities: * Contribute to development and maintenance of Machine ...

Synechron

Data Scientist

Montreal, QC · Hybrid

CA$80K - CA$90K/yr

Our challenge We are seeking a detail-oriented and skilled Data Scientist to join our team. The candidate will be working within a machine learning team/squad. The team is working on developing ...

HollisWealth

Data Engineer

Quebec, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Invictus Direct

Data Engineer

Montreal, QC · Remote

$60 - $90/hr

Our client is seeking a Data Engineer to support the development of a new pilot initiative focused on integrating live operational data across multiple platforms and systems. This role will play a ...

HollisWealth

Data Engineer

Montreal, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Industrial Alliance Pacific

Data Engineer

Quebec, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Industrial Alliance Pacific

Data Engineer

Montreal, QC · Hybrid

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Valnet Inc.

Data Scientist

Montreal, QC · On-site

Data Scientist Location: Onsite - Montreal Who we are: Valnet looking for a Data Scientist to join our Tech team. In this role, you will design and deploy AI systems that improve how a large-scale ...

National Bank

Data Scientist

Montreal, QC · Hybrid

A career as a Data Scientist within the Credit Risk Models team at National Bank means putting your modeling expertise to work in assessing credit risk for both Retail and Commercial clients. You ...

National Bank

Data Scientist

Montreal, QC · Hybrid

A career as a Data Scientist within the Credit Risk Models team at National Bank means putting your modeling expertise to work in assessing credit risk for both Retail and Commercial clients. You ...

National Bank

Data Scientist

Montreal, QC · Hybrid

A career as a Data Scientist within the Credit Risk Models team at National Bank means putting your modeling expertise to work in assessing credit risk for both Retail and Commercial clients. You ...

Acuity Brands

Product Data Manager

Brossard, QC

Job Summary The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and ...

Autodesk

Principal Data Scientist

Montreal, QC · On-site

We are seeking a Principal Data Scientist to partner with multidisciplinary Visualization Solutions teams to define and evolve product analytics and applied AI practices. This role brings data ...

Kyndryl

Data & AI Architect

Montreal, QC · On-site

CA$118K - CA$168K/yr

Data Platform Engineering * Design and oversee modern data platforms using technologies such as Databricks, Snowflake, Synapse, BigQuery, and Azure Data Lake. * Define and implement data ...

TailorCare

Data Platform Architect

Montreal, QC · Hybrid

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the ...

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

We are seeking a data-driven, business-savvy Data Scientist to support our publishing businesses. Reporting directly to the Portfolio Manager, you will analyze audience behavior, content performance ...

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People also search for

All JobsData JobsData Jobs in Quebec

Data information

See Quebec salary details

$9

$33

$78

How much do data jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data in Quebec is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

More about Data jobs
What are the most commonly searched types of Data jobs in Quebec? The most popular types of Data jobs in Quebec are:
What are popular job titles related to Data jobs in Quebec? For Data jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data jobs in Quebec look for? The top searched job categories for Data jobs in Quebec are:
Data jobs near you
Infographic showing various Data job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.
Data Scientist

Data Scientist

Bounteous

Montreal, QC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today's complex challenges and tomorrow's opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

You will work as part of a dedicated machine learning squad focused on building Artificial Intelligence solutions, including both traditional ML and Generative AI. You should be proficient in Python development, predictive analytics, and prompt engineering. As part of the role, you will be able to collaborate with various clients and subject matter experts to understand business requirements, translate them into robust Python implementations, and build machine learning models supported by clear evidence and analysis. You should will also understand the full lifecycle of ML and Gen AI solutions, including their maintenance and continuous performance monitoring. You should also have a strong understanding of the end-to-end lifecycle of ML and Gen AI solutions, including their ongoing maintenance and continuous performance monitoring.

Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Responsibilities:
  • Contribute to development and maintenance of Machine Learning models for business problems.
  • Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.
  • Contribute towards prompt engineering for data analysis and discovery.
  • Conduct regular testing and performance analysis.
  • Conduct necessary bench-marking experiments.
Requirements:
  • Bachelor's in computer science or related field.
  • Years of experience: 5+
  • Hands-on experience in building ML and Data Science solutions for real world problems.
  • Understanding of ML models and concepts, good practices and analysis.
  • Experience/Understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.
  • Strong data science and statistical analytics skills.
  • Strong in problem-solving with innovative mindset.
  • Strong Python development skills.
We invite you to stay connected with us by subscribing to our monthly job openings alert here.

Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 

For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates. 

*Must be legally eligible to work in Canada. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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