1

Behavioural Science Jobs in Quebec (NOW HIRING)

The C-BIG Repository is an Open Science collection of biological samples, clinical information ... and behavioral data-originating from multiple internal and external research groups.

The C-BIG Repository is an Open Science collection of biological samples, clinical information ... and behavioral data-originating from multiple internal and external research groups.

... professional behaviors that reflect listening, respect, understanding and empathy. In her ... Hold a DEC in nursing or a BAC in nursing sciences OIIQ practice permit Experience of at least one ...

... scientists to launch large-scale data analyses using advanced scientific tools though an easy to ... Provide expertise in defining UX requirements, platform behaviors, and information flow, including ...

Drive the development of a data‑driven culture across Lassonde, including skills, behaviors, and ... Bachelor's degree in relevant discipline (computer science, engineering, business administration ...

We deliver an innovative, science-based portfolio of premium flagship brands and services that span ... Demonstrating ethics and integrity while modeling behaviors consistent with company standards and ...

... scientists, digital innovators, program and construction managers and other professionals ... Analyze rock mass behavior and ground movements, and review associated technical reports.

Team Lead, Health and Safety

Montreal, QC · On-site

CA$122K - CA$162K/yr

... behavioural safety Support implementation and evolution of HSSEQ systems and processes at a ... The brightest engineers, advisors and scientists from across the globe call WSP home. Proudly ...

... behavioural safety Support implementation and evolution of HSSEQ systems and processes at a ... The brightest engineers, advisors and scientists from across the globe call WSP home. Proudly ...

Showing results 41-60

Behavioural Science information

See Quebec salary details

$24K

$74.2K

$128.5K

How much do behavioural science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for behavioural science in Quebec is $74,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Behavioural Science vs Data Analyst?

AspectBehavioural ScienceData Analyst
Required CredentialsDegree in Psychology, Sociology, or Behavioural ScienceDegree in Statistics, Mathematics, or Data Science
Work EnvironmentResearch settings, consulting firms, or corporate teams focusing on human behaviorData-driven environments, business intelligence, and reporting teams
Industry UsageMarketing, healthcare, policy development, and user experienceFinance, marketing, technology, and operations

While both roles analyze data, Behavioural Scientists focus on understanding human behavior and applying insights to influence decisions, whereas Data Analysts primarily interpret data to inform business strategies. The two roles often collaborate but serve different core functions within organizations.

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

To thrive as a Behavioural Scientist, you need a solid background in psychology, statistics, and research methods, usually supported by an advanced degree in behavioural science or a related field. Familiarity with statistical analysis software (such as SPSS, R, or Python), survey tools, and data visualization platforms is often required. Strong critical thinking, communication, and collaboration skills help behavioural scientists design effective studies and translate findings for diverse audiences. These abilities ensure rigorous research, actionable insights, and impactful solutions to real-world behavioural challenges.

What is behavioural science?

Behavioural science is the study of how people make decisions and act in various situations, drawing from fields like psychology, sociology, and economics. It aims to understand human behavior by examining the factors that influence choices, habits, and social interactions. Professionals in this field use research and data to develop interventions that can change behaviors for better outcomes in areas such as health, education, and business. Behavioural scientists often work in research, policy-making, marketing, or consulting roles.

What does a behavioral scientist do?

A behavioral scientist studies human behavior to understand why people act in certain ways and how to influence their decisions. They use research methods, data analysis, and psychological theories to develop strategies for improving behaviors in areas like health, marketing, or public policy.

What can I do with a behavioral science degree?

A behavioral science degree prepares individuals for roles such as behavioral analyst, research analyst, or user experience researcher, focusing on understanding human behavior to improve products, services, or policies. Graduates often work in healthcare, marketing, public policy, or consulting, utilizing skills in data analysis, psychology, and research methods.

Is behavioral science a good career?

Behavioral science is a growing field that involves applying psychological and social principles to understand and influence human behavior. Careers in this area often require strong analytical skills, knowledge of research methods, and sometimes advanced degrees or certifications. It can offer diverse opportunities in research, consulting, healthcare, and technology sectors.

How does a behavioural scientist typically collaborate with cross-functional teams in an organization?

Behavioural scientists frequently work alongside professionals from marketing, product development, data analytics, and human resources to integrate behavioural insights into various projects. This collaboration often involves translating research findings into actionable strategies, designing experiments or interventions, and evaluating their effectiveness through data analysis. Clear communication and the ability to explain complex concepts in accessible terms are crucial, as is adaptability to different team dynamics. These collaborations not only enhance project outcomes but also provide behavioural scientists with exposure to diverse business functions and growth opportunities.

What can I do with a career in behavioural science?

A career in behavioural science involves applying psychological and social principles to understand and influence human behavior. Professionals can work in areas such as research, consulting, public policy, marketing, or user experience design, often using data analysis and behavioral models to develop effective strategies. Skills in research methods, data analysis, and understanding of cognitive biases are essential for success in this field.
What are popular job titles related to Behavioural Science jobs in Quebec? For Behavioural Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Behavioural Science jobs in Quebec look for? The top searched job categories for Behavioural Science jobs in Quebec are:
What cities in Quebec are hiring for Behavioural Science jobs? Cities in Quebec with the most Behavioural Science job openings:
Infographic showing various Behavioural Science job openings in Quebec as of August 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 100% In-person job distribution, with an average salary of $74,235 per year, or $35.7 per hour.

Autonomous Driving Systems Simulation and Data Analysis Engineer

CS GROUP

Montreal, QC

Full-time

Medical, Dental, Vision

Posted yesterday

New


Job description

Company Description

CS Group Canada, a subsidiary of CS Group (part of the Sopra Steria Group), is a leader in the development and certification of safety-critical systems in the aerospace, electric, and autonomous driving industries.

Joining CS Group Canada means taking part in complex, high-tech projects for some of the most prestigious system manufacturers in North America, while benefiting from competitive salaries, comprehensive benefits, and flexible work arrangements.

Job Description

Support the validation and continuous refinement of performance requirements, safety thresholds, and key performance indicators (KPIs) for autonomous driving systems through large-scale simulation and real-world data analysis. 

The engineer will leverage simulation, data analytics, and software development to quantify and refine performance, behavioral, and technical requirements necessary to achieve system safety. The role focuses on safety requirements quantification, including latency budgets, safety mechanism thresholds, and checker maturation parameters, while developing and maintaining simulation and analysis tools, and supporting scalable safety validation activities. 

Key Responsibilities 

Simulation Development & Scenario Execution 

  • Develop and maintain simulation tooling in C/C++ and Python to support large-scale autonomous driving validation activities. 
  • Design interfaces and integrations between internal validation tools, simulation environments, and data processing frameworks. 
  • Extend existing simulation scenarios to inject perception noise, latency, and failure conditions to characterize system robustness. 
  • Support containerized development and deployment environments using Docker and Linux-based infrastructure. 
  • Use simulation results to support the definition and refinement of subsystem performance requirements and safety thresholds. 
  • Evaluate the effectiveness of safety mechanisms under degraded system performance conditions. 

Data Analytics & Performance Evaluation 

  • Develop and maintain Python- and C/C++-based analysis and simulation pipelines to process, visualize, and evaluate large-scale driving and simulation datasets. 
  • Investigate scenarios where unsafe behavior occurs despite performance targets being met and provide data-driven recommendations for improving metrics, thresholds, or requirements. 
  • Determine characterization data and quantify system performance against KPIs, SPIs, safety targets, and behavior requirements. 
Qualifications

Education 

  • Bachelor's or Master's degree in Computer Engineering, Software Engineering, Electrical Engineering, Robotics, Computer Science, or a related discipline. 

Experience 

  • Experience with validating and quantifying performance criteria for autonomous driving functions such as: 
    • Adaptive Cruise Control (ACC) 
    • Lane Centering 
    • Automated Lane Change 
    • Highway Driving Assist 
    • Automated Driving / ADS functions 
  • Experience analyzing autonomous driving datasets and vehicle performance data. 
  • Experience developing production-quality software in C/C++ and/or Python, including tool development, automation, and system integration activities. 
  • Experience with Linux-based development environments. 
  • Experience integrating software applications into CI/CD pipelines and automated validation workflows. 
  • Experience working with autonomous driving software stacks, particularly: 
    • Perception 
    • Object tracking/fusion 
    • Vehicle Intent 
    • Prediction 
    • Planning 
    • Vehicle control interfaces 
    • Experience evaluating software and system performance using simulation and real-world validation data. 

Desired Skills 

Simulation & Scenario-Based Validation 

  • Experience with Foretellix scenario generation and validation tools. 
  • Experience with Applied Intuition Simian simulation environments. 
  • Experience with AV simulation stacks and simulation workflows. 
  • Experience developing, generating, and managing simulation scenarios for autonomous driving validation. 
  • Experience evaluating ODD coverage and edge-case traffic situations. 

Software & Infrastructure 

  • Experience integrating simulation, validation, or analytics tools into enterprise software ecosystems. 
  • Experience setting up, configuring, and running Docker containers. 
  • Experience working with CI/CD pipelines and large-scale data processing frameworks. 
  • Experience developing internal engineering tools and automation frameworks in C/C++ or Python. 
  • Experience with build systems such as CMake and software development best practices.  

Autonomous Driving & Safety 

  • Knowledge of Autonomous Driving Safety Performance Indicators and KPIs. 
  • Familiarity with ISO 26262 and/or ISO 21448 (SOTIF). 
  • Experience supporting safety case development, safety performance evaluation, or safety requirement specification activities. 

Additional Information

Please note that only selected candidates and Permanent Residents/Canadian Citizens will be contacted.

Job Types: Full-time, Permanent

CS Group Canada values ​​diversity in the workplace and encourages women, visible minorities, ethnic minorities, aboriginal people, and people with disabilities to apply.

Benefits:

  • Hybrid Work 
  • Industry leading medical, dental, and vision Insurance
  • Access to a telemedicine service
  • RRSP program
  • Personal and sick days
  • Recreation room with pool table and foosball table

All your information will be kept confidential according to EEO guidelines.