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Mathematical Modeling Jobs in Ontario (NOW HIRING)

Hitachi

Senior Optimization Engineer

Stoney Creek, ON · Remote

No The Opportunity As a Senior Optimization Engineer at Hitachi Energy, you will help develop the software and mathematical models that support real-time and market-based choices across the power ...

PartnerRE Ltd.

Cat Modeling Analyst

Toronto, ON · Hybrid

The Cat Modeling team supports risk transfer decisions founded on our scientifically based view of ... Work Expereince and Qualifications You are a passionate natural scientist, mathematician, actuary ...

Bmo

Manager, Loss Forecasting Models

Toronto, ON · On-site

Leadership or mentoring experience in analytics or modeling teams. Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide ...

Scotiabank

Manager, PPNR Modeling

Toronto, ON · On-site

Model Development: Work on statistical models to project PPNR (Pre-Provision Net Revenue) as a ... Degree in Economics, Finance, Statistics, Mathematics, Engineering, or another related quantitative ...

Basetwo

Process Modeller (Biologics)

Toronto, ON · On-site

The Process Modeller will be responsible for developing mathematical models for the Basetwo platform to solve modelling and control applications in pharmaceuticals and biologics manufacturing. Our ...

Basetwo

Process Modeller (Biologics)

Toronto, ON

The Process Modeller will be responsible for developing mathematical models for the Basetwo platform to solve modelling and control applications in pharmaceuticals and biologics manufacturing. Our ...

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All JobsMathematical Modeling JobsMathematical Modeling Jobs in Ontario

Mathematical Modeling information

See Ontario salary details

$23.5K

$91.4K

$183K

How much do mathematical modeling jobs pay per year?

As of Aug 26, 2026, the average yearly pay for mathematical modeling in Ontario is $91,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

How to get a job in mathematical modeling?

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

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

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like Python or MATLAB are often essential.
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What job categories do people searching Mathematical Modeling jobs in Ontario look for?

The top searched job categories for Mathematical Modeling jobs in Ontario are:

Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Ontario as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $91,393 per year, or $43.9 per hour.

Senior Optimization Engineer

Hitachi

Stoney Creek, ON • Remote

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

Location:

Stoney Creek, Ontario, Canada

Job ID:

R0125438

Date Posted:

2026-06-09

Company Name:

HITACHI ENERGY CANADA INC.

Profession (Job Category):

Engineering & Science

Job Schedule:

Full time

Remote:

No

Job Description:

The Opportunity

As a Senior Optimization Engineer at Hitachi Energy, you will help develop the software and mathematical models that support real-time and market-based choices across the power system. In this role, you will work at the intersection of power systems, electricity markets, optimization, and software development-designing, building, testing, integrating, and documenting applications that help utilities and market operators run markets efficiently and support reliable grid operations.

You will translate customer requirements into technically sound solutions, apply advanced mathematical modeling and numerical methods, and support software releases while addressing complex technical issues. Your work will contribute to the reliability, performance, and modernization of the grid by enabling smarter market operation, better use of system resources, and stronger alignment with the evolving energy landscape. You will also collaborate with internal teams and customers on projects that connect technical depth with practical results, giving you the opportunity to grow your expertise in power market applications, optimization tools, and energy software in a global environment.

How You'll Make an Impact
  • Analyze customer requirements and propose technically sound solutions for power system and electricity market applications.
  • Design, develop, and test optimization applications that support power systems and market operations.
  • Integrate software solutions and prepare documentation in line with established development practices.
  • Support software releases and troubleshoot complex technical issues to help maintain solution performance and customer outcomes.
  • Research and apply advanced mathematical modeling and numerical methods to improve application capability.
  • Collaborate with internal teams and represent Hitachi Energy in customer meetings.
  • Contribute to improving software development processes and technical documentation.
  • Travel occasionally to support global customer projects.
  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Your Background
  • Candidate must already have work authorization that would permit them to work for Hitachi Energy in Canada.
  • Bachelor's degree in Electrical Engineering with emphasis in electricity markets.
  • Minimum 5 years of experience in optimization modeling tools and solvers (AMPL/AIMMS, CPLEX, Gurobi).
  • Minimum 3 years of experience with high-level programming languages.
  • Minimum 3 years of experience using Linux or AIX operating systems.
  • Minimum 2 years developing power system application software for electricity markets.
  • Sound written and oral communication skills in English.
More About Us

In this role, you will have the opportunity to build your skills while working with experienced teams on technologies and software solutions that support the future of energy.

  • Opportunities to work on innovative technologies that help shape the future of energy
  • A collaborative environment with experienced professionals across the power industry
  • Access to learning platforms, tuition reimbursement, and career development programs
  • Attractive health and retirement-related benefits
  • Paid leave and flexible work arrangements that support work-life balance
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

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