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Applied Mathematics Jobs in Ontario (NOW HIRING)

Vangard, Inc.

Senior AI Scientist

Toronto, ON · On-site

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 ...

Marinabaysands

Degree in Business Analytics, Applied Mathematics, Statistics, Marketing or other analytical fields preferred. Experience * Marketing graduates with a flair for numbers and interest in customer and ...

Marinabaysands

Degree in Business Analytics,Computer Science, Applied Mathematics, Statistics or other analytical fields preferred. Experience * 1 to 2 years of practical experience in business analytics, customer ...

Marinabaysands

Degree in Business Analytics, Applied Mathematics, Statistics or other analytical fields preferred. Experience * 1 to 2 years of practical experience in business analytics, customer analytics or ...

Synechron

Quantitative Developer

Toronto, ON · Hybrid

CA$120K - CA$130K/yr

Master of Mathematical Finance (MMF), PhD, or equivalent advanced degree in Financial Engineering, Applied Mathematics, or related fields. * Platform Experience: Hands-on experience with Databricks ...

The Trade Desk

Applied Scientist II

Toronto, ON · On-site

Applied Scientists on our team work closely with engineering throughout the lifecycle of the ... Mathematics, Computer Science, Statistics, or a related quantitative field with 3+ years of ...

Lyft

Data Science Manager, Rider Experience

Toronto, ON · On-site

Advanced degree (MS or PhD) in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or a related area * Hands-on technical experience in experimentation, causal ...

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping ... Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data ...

Moneris

Business Data Analyst (Contract)

Toronto, ON · Hybrid

CA$71K - CA$100K/yr

Bachelor's degree in Business, Computer Science, Applied Mathematics, Statistics, or a related field. * 3-5 years of experience working with relational databases and multiple data sources.

AXIS Capital

Lead Applied Scientist

London, ON · On-site

The Lead Applied Scientist is the senior scientific authority in the Data Science and AI Delivery ... You will bring mathematical and statistical rigor to how problems are framed, how uncertainty is ...

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All JobsApplied Mathematics JobsApplied Mathematics Jobs in Ontario

Applied Mathematics information

What is applied mathematics?

An Applied Mathematics job involves using mathematical methods and models to solve real-world problems in various industries, such as finance, engineering, data science, and healthcare. Professionals in this field apply statistical analysis, computational techniques, and mathematical modeling to optimize processes, predict outcomes, and support decision-making. They often work in interdisciplinary teams, collaborating with scientists, economists, or engineers. Common job roles include data analyst, operations researcher, and quantitative analyst.

What does someone in applied mathematics do?

Professionals in Applied Mathematics often work on projects that involve developing mathematical models to solve practical problems in areas such as finance, engineering, healthcare, or technology. Common responsibilities include analyzing large datasets, optimizing processes, running simulations, and collaborating with specialists from other fields to interpret results and implement solutions. The day-to-day work can range from pure data analysis to creating algorithms or forecasting models, depending on the specific industry. This dynamic role requires a balance of independent research and teamwork, providing opportunities to make a tangible impact across various sectors.

What are the key skills and qualifications needed to thrive in applied mathematics?

To thrive in Applied Mathematics, you need a strong background in mathematical modeling, statistical analysis, and problem-solving, usually supported by a degree in mathematics, applied mathematics, or a related field. Proficiency with programming languages such as Python, MATLAB, or R, as well as experience with data analysis software, is typically required. Strong analytical thinking, effective communication, and attention to detail help professionals present complex findings clearly and work collaboratively with interdisciplinary teams. These skills are essential for translating mathematical theories into practical solutions that address real-world business or scientific challenges.

How much money do applied mathematicians make?

Applied mathematicians typically earn a median annual salary of around $85,000 to $110,000, depending on experience, education, and industry. Salaries can be higher in fields like finance, data science, and technology, especially for those with advanced skills in programming and statistical analysis.

Is applied mathematics a useful degree?

Applied mathematics is a useful degree for careers in data analysis, engineering, finance, and research, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often work with mathematical modeling, programming, and statistical tools, making them valuable in various industries that rely on data-driven decision making.

What careers use applied mathematics?

Applied mathematics is used in careers such as data analyst, operations researcher, financial analyst, actuary, and engineer. These roles involve modeling, problem-solving, and analyzing data using mathematical techniques and tools like statistical software and programming languages.

What is the future of applied mathematics?

Applied mathematics is expected to grow as it plays a crucial role in data analysis, modeling, and problem-solving across industries such as technology, finance, and healthcare. Professionals in this field will likely need strong skills in programming, statistical analysis, and computational tools to stay relevant in evolving technological environments.

What are popular job titles related to Applied Mathematics jobs in Ontario?

For Applied Mathematics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics jobs in Ontario look for?

The top searched job categories for Applied Mathematics jobs in Ontario are:

What cities in Ontario are hiring for Applied Mathematics jobs?

Cities in Ontario with the most Applied Mathematics job openings:

Applied Mathematics jobs near you
Infographic showing various Applied Mathematics job openings in Ontario as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 4% Temporary, and 2% Contract. Highlights an 76% In-person, 14% Hybrid, and 10% Remote job distribution.

Senior AI Scientist

Vangard, Inc.

Toronto, ON • On-site

Full-time

Re-posted 18 days ago

Key responsibilities

  • Design and execute adversarial evaluations of generative AI and agentic systems to identify safety failures, policy violations, and unexpected behaviors

  • Apply experimental design and statistical methods to assess model robustness and evaluate AI safety research questions

  • Build and maintain data pipelines to process evaluation outputs, aggregate metrics, and surface trends for research and stakeholders

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.

Apply