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Cybersecurity Data Scientist Jobs in Quebec (NOW HIRING)

Lassonde

Vice President, Data & Analytics

Quebec, QC · On-site

$140 - $200/hr

Partner with Cybersecurity and Infrastructure on data security, data classification, access ... Bachelor's degree in relevant discipline (computer science, engineering, business administration ...

National Bank

Senior Cybersecurity Advisor

Montreal, QC · On-site

Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and ... Bachelor's degree in computer Science, Software Engineering or a related field, and 7 to 10 years ...

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All JobsCybersecurity Data Scientist JobsCybersecurity Data Scientist Jobs in Quebec

Cybersecurity Data Scientist information

See Quebec salary details

$25.5K

$118.3K

$185K

How much do cybersecurity data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for cybersecurity data scientist in Quebec is $118,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $154,500.00 per year, depending on experience, location, and employer.

Can you make $500,000 a year in cyber security?

Cybersecurity Data Scientists with extensive experience, advanced skills in machine learning, and certifications like CISSP or CISM can potentially earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large organizations. However, such high compensation is uncommon and typically requires a combination of expertise, leadership responsibilities, and working in high-demand markets or consulting environments.

Can I make $200,000 a year in cyber security?

Cybersecurity Data Scientists with extensive experience, advanced skills in machine learning, and relevant certifications can potentially earn $200,000 or more annually, especially in high-demand industries or senior roles. Salary levels depend on factors such as location, company size, and individual expertise, with senior positions often offering higher compensation.

How do Cybersecurity Data Scientists typically collaborate with IT and security teams to address emerging threats?

Cybersecurity Data Scientists work closely with IT and security teams to identify vulnerabilities, analyze security logs, and develop machine learning models that detect anomalies. They often participate in cross-functional meetings to translate complex data insights into actionable recommendations for incident response. Regular collaboration is key, as these professionals must ensure their algorithms align with real-world security protocols and integrate seamlessly with existing systems. This teamwork enhances both proactive threat detection and rapid response to security incidents.

What is a Cybersecurity Data Scientist?

A Cybersecurity Data Scientist is a professional who applies data science techniques to identify, analyze, and mitigate cyber threats. They use large datasets, machine learning, and statistical analysis to detect patterns of malicious activity and develop models to predict and prevent cyber attacks. This role bridges the gap between cybersecurity and data analytics, helping organizations strengthen their security posture by turning data into actionable insights.

What is the difference between Cybersecurity Data Scientist vs Cybersecurity Analyst?

AspectCybersecurity Data ScientistCybersecurity Analyst
Required CredentialsBachelor's/Master's in Data Science, Cybersecurity, or related fields; certifications like CISSP, CEHBachelor's in Cybersecurity, Information Technology, or related; certifications like CompTIA Security+, CISSP
Work EnvironmentData-driven roles, analyzing large datasets, developing modelsMonitoring security systems, incident response, threat analysis
Employer & Industry UsageTech companies, finance, healthcare, governmentAny organization with cybersecurity needs, including government and private sectors

While both roles focus on cybersecurity, a Cybersecurity Data Scientist specializes in analyzing data to identify patterns and develop predictive models, whereas a Cybersecurity Analyst primarily monitors security systems and responds to threats. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in focus and skill set.

Can a Data Scientist work in cybersecurity?

A Data Scientist can work in cybersecurity by analyzing large datasets to identify threats, detect anomalies, and improve security measures. Skills in machine learning, statistical analysis, and programming tools like Python or R are essential, along with knowledge of cybersecurity concepts and tools such as intrusion detection systems and threat intelligence platforms.

What does a cyber security Data Scientist do?

A cybersecurity Data Scientist analyzes large datasets to identify security threats, detect anomalies, and develop models to prevent cyber attacks. They use skills in data analysis, machine learning, and cybersecurity tools to improve an organization’s security posture. This role often requires knowledge of programming languages like Python or R and familiarity with security frameworks and protocols.

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

To thrive as a Cybersecurity Data Scientist, you need a strong background in computer science, statistics, and cybersecurity principles, typically supported by a relevant degree and experience in data analysis. Familiarity with tools like Python, R, machine learning frameworks, and security information and event management (SIEM) systems is essential, as well as certifications such as CISSP or CompTIA Security+. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex threats and collaborate with cross-functional teams. These skills are critical for identifying security vulnerabilities and developing data-driven solutions to protect organizations from evolving cyber threats.
What are popular job titles related to Cybersecurity Data Scientist jobs in Quebec? For Cybersecurity Data Scientist jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Scientist jobs in Quebec look for? The top searched job categories for Cybersecurity Data Scientist jobs in Quebec are:
Cybersecurity Data Scientist jobs near you
Infographic showing various Cybersecurity Data Scientist job openings in Quebec as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $118,335 per year, or $56.9 per hour.

Senior Data Scientist II (ServiceNow)

Bell Canada

Montreal, QC

Other

Medical, Dental, Vision

Posted 29 days ago

Job description

 Req Id: 431027

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we're building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you're inspired by innovation that advances how people connect and transforms what's possible, you belong on #TeamBell.

On the Bell Business Markets team, you'll be a vital part of making innovation happen for enterprise-scale customers. You'll deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private Networks.

At Bell, your skills and expertise will help set us apart as we continue to be the leading provider of digital connections and next generation services to businesses and governments.

Summary

We are seeking a highly accomplished and experienced Senior Data Scientist II to lead the technical development and implementation of complex machine learning (ML) solutions. This individual will be a key contributor, driving innovation and shaping the future of our data science initiatives. The ideal candidate will possess exceptional technical skills, strong leadership abilities, and a deep understanding of business operations. 

Key Responsibilities
  • Lead the entire lifecycle of data science projects, from initial conception and design to deployment and maintenance in production environments. 
  • Develop and implement advanced ML architectures for complex models, ensuring scalability, performance, and robustness. 
  • Collaborate with business stakeholders to gain a thorough understanding of operational processes, identify key challenges, and translate business needs into data-driven solutions. 
  • Guide and direct interaction with product teams to influence product design, ensuring alignment between business objectives and technical feasibility. 
  • Employ a production-first approach, conducting thorough feasibility studies and prototyping to evaluate project viability, considering performance, time, quality, and cost. 
  • Introduce and champion innovative ML techniques, processes, and products within the organization. 
  • Mentor and guide junior and senior data scientists, fostering a collaborative and high-performing team environment. 
  • Proactively identify and address potential challenges and risks throughout the project lifecycle. 
  • Stay abreast of the latest advancements in the field of machine learning and proactively identify opportunities for innovation and improvement. 
  • Contribute to the development and refinement of data science best practices and methodologies. 
Critical Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Relevant experience may be considered in lieu of a degree. 
  • 8+ years of experience in a data science or analytics role, with a significant portion dedicated to leading complex projects. 
  • Advanced cloud certification (e.g., AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer - specify preferred certifications). 
  • Advanced knowledge of ML models: NLP, Gen AI and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras - specify preferred frameworks). 
  • Demonstrated ability to design and implement complex ML architectures. 
  • Advanced understanding of business operations, needs, and pain points, with the ability to translate business requirements into technical specifications. 
  • Exceptional proficiency in developing, training, and deploying ML models in production environments. 
  • Proficiency in at least one scripting language (Python preferred). 
  • Strong experience with data visualization tools (e.g., Tableau, Power BI). 
  • Excellent communication, leadership, and interpersonal skills. 
  • Proven ability to lead and motivate teams to achieve ambitious goals. 
  • Demonstrated ability to manage multiple projects simultaneously and meet deadlines. 
  • Strong problem-solving skills and a proactive approach to identifying and resolving challenges. 
Preferred Qualifications
  • Master's degree or PhD in a relevant field. 
  • Experience with specific industry-relevant datasets or technologies. 
  • Publication record in data science or related fields. 
  • Contributions to open-source projects or personal data science projects (portfolio encouraged). 
  • Experience with Servicenow

Adequate knowledge of French is required for positions in Quebec. 

Additional Information:

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Quebec : Montreal || Canada : Ontario : Ottawa || Canada : Ontario : Toronto 
Work Arrangement: Hybrid
Application Deadline: 07/26/2026

For work arrangements that are 'Hybrid', successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week.  Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you'll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. 

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, QC, Montreal

Bell, one of Canada's Top 100 Employers.

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