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Behavioral Science Jobs in Toronto, ON (NOW HIRING)

Vangard, Inc.

Senior AI Scientist

Toronto, ON

... science, applied ML research, or AI evaluation roles * Hands-on experience with large language models and agentic AI systems, with working knowledge of LLM behavior, failure modes, and safety ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... team of research scientists and engineers to invent the next generation of models and algorithms ...

MasterCard

Data Scientist II

Toronto, ON

... merchant behavior, relationships, and risk signals over time. Role You will contribute to the design and development of data science capabilities that improve merchant risk assessment across ...

Epistemix

Data Scientist

Toronto, ON · Remote

About Epistemix The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... behavioral modelling, or model governance. Mastercard is a merit-based, inclusive, equal ...

GHD

Environmental Scientist

Toronto, ON · On-site

CA$71K - CA$95K/yr

Maintain health, safety, quality, and environment key performance indicators (KPIs) and behaviors ... Bachelor's (and/or master's) degree in Environmental Engineering, Environmental Science, Geoscience ...

Waabi

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

... behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

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All JobsBehavioral Science JobsBehavioral Science Jobs in Toronto, ON

Behavioral Science information

See Toronto, ON salary details

$22.9K

$70.8K

$122.6K

How much do behavioral science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for behavioral science in Toronto, ON is $70,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,853.00 and $89,707.00 per year, depending on experience, location, and employer.

Is behavioral science in high demand?

Behavioral science is increasingly in demand across industries such as healthcare, marketing, and public policy, as organizations seek to understand and influence human behavior. Professionals with skills in data analysis, research methods, and behavioral theories are valued, and the field is expected to grow as organizations prioritize evidence-based decision making.

What can you do with a behavioral science degree?

A behavioral science degree prepares individuals for roles such as behavioral analyst, research coordinator, 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.

How do behavioral science professionals typically collaborate with other departments within an organization?

Behavioral Science professionals often work closely with teams such as marketing, human resources, product development, and data analytics to apply behavioral insights to real-world challenges. Collaboration can include designing experiments, interpreting data, and providing recommendations to improve user experiences or organizational outcomes. Regular meetings and cross-functional projects are common, requiring strong communication skills and the ability to translate complex behavioral concepts into actionable strategies. This collaborative environment fosters learning and provides opportunities for professionals to see the tangible impact of their work.

What is behavioral science?

Behavioral science is the study of how people make decisions, act, and interact with others. It draws from disciplines like psychology, sociology, and anthropology to understand human behavior and motivation. Professionals in this field use research and data analysis to understand patterns of behavior, which can help improve outcomes in areas such as health, business, education, and policy. Behavioral scientists often work to design interventions or policies that encourage positive behavioral changes.

What are the key skills and qualifications needed to thrive as a behavioral scientist?

To thrive as a Behavioral Scientist, you need a solid grounding in psychology, research methods, data analysis, and typically an advanced degree such as a master's or Ph.D. in behavioral science or a related field. Familiarity with statistical software like SPSS, R, or Python, and experience in survey design tools are commonly required. Strong critical thinking, communication skills, and the ability to collaborate across disciplines help Behavioral Scientists excel. These skills enable professionals to design effective studies, analyze human behavior accurately, and translate findings into actionable insights for organizations or policy.

What is the difference between Behavioral Science vs Data Analyst?

AspectBehavioral ScienceData Analyst
Required CredentialsDegree in psychology, sociology, or related fields; knowledge of research methodsDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch settings, consulting firms, or corporate teams focusing on human behaviorBusiness, finance, healthcare, or tech companies analyzing data trends
Employer & Industry UsageUsed by organizations aiming to understand and influence human behaviorUsed by organizations to interpret data and inform decision-making

While both roles involve analyzing information, Behavioral Scientists focus on understanding human behavior through research and psychological principles, whereas Data Analysts interpret data sets to support business decisions. Both careers require analytical skills but differ in their focus and application.

What jobs do behavioral scientists do?

Behavioral scientists analyze human behavior to develop insights that improve decision-making, policies, and products. They work in areas such as healthcare, marketing, public policy, and organizational development, often using research methods like experiments and data analysis. Their roles may include consulting, designing interventions, and conducting behavioral research to influence positive outcomes.
What are the most commonly searched types of Behavioral Science jobs in Toronto, ON? The most popular types of Behavioral Science jobs in Toronto, ON are:
What are popular job titles related to Behavioral Science jobs in Toronto, ON? For Behavioral Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Behavioral Science jobs in Toronto, ON look for? The top searched job categories for Behavioral Science jobs in Toronto, ON are:
Behavioral Science jobs near you
Infographic showing various Behavioral Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 26% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $70,845 per year, or $34.1 per hour.

Senior AI Scientist

Vangard, Inc.

Toronto, ON

Full-time

Posted 25 days ago

Job description

We are the AI Center of Excellence within the Chief Data and Analytics Office. We build infrastructure and tools that enable AI practitioners to develop AI products quickly and with confidence. A core part of our work focuses on AI safety and evaluation: identifying vulnerabilities in generative AI applications and ensuring that AI systems deployed at Vanguard behave safely, reliably, and in accordance with regulatory and business standards. We are looking for technically sharp, curious people who think rigorously about how AI systems fail and can communicate those findings clearly to the teams who need to act on them.

About the Role

This role sits at the intersection of AI safety research, LLM evaluation, and applied data science. You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for application teams and business stakeholders. You will also mentor junior data scientists and contribute to the growth of our AI safety research practice.

Responsibilities

  • Design and execute adversarial evaluations of generative AI and agentic systems, probing for safety failures, policy violations, and unexpected behaviors under realistic conditions

  • Apply rigorous experimental design and statistical methodology to AI safety research questions, including evaluation of model robustness and the reliability of automated evaluation systems

  • Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation quality at scale

  • Build and maintain data pipelines to process large-scale evaluation outputs, aggregate metrics, and surface trends for research and stakeholder consumption

  • Engage directly with internal stakeholders including application teams, security analysts, and business leaders to explain findings and translate complex analytical results into clear, actionable recommendations

  • Mentor and develop junior data scientists and analysts on the team

  • Stay current with emerging literature in adversarial ML, LLM safety, and AI evaluation; contribute to the team's evolving research agenda

  • Participate in special projects and perform other duties as assigned

Qualifications

  • Minimum 5 years of experience in data science, applied ML research, or AI evaluation roles

  • Hands-on experience with large language models and agentic AI systems, with working knowledge of LLM behavior, failure modes, and safety evaluation techniques

  • Familiarity with adversarial AI concepts including jailbreaks, prompt injection, and model robustness, whether through direct research or applied work

  • Strong programming skills in Python, including experience with data pipelines, large-scale experimentation, and ML libraries such as PyTorch, Hugging Face, or Scikit-learn

  • Solid foundation in statistical reasoning and experimental design: hypothesis formulation, significance testing, and the ability to identify confounds and methodological flaws in existing analyses

  • Experience in financial services, AI safety, trust and safety, or a regulated industry is a strong plus

  • Clear, confident communication skills with the ability to explain technical findings to both research peers and non-technical stakeholders

  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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