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Mathematical Modeling Jobs in Alberta (NOW HIRING)

National Bank

Senior Analyst

Edmonton, AB · On-site

... model development, risk programming and presentation to senior management. Prerequisites: * Masters in a relevant field such as Financial Engineering, Finance, Statistics, Economics, Mathematics ...

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Machine Learning Engineer responsibilities include creating machine learning models and retraining ... Qualifications Preferred Education Degree in Computer Science, Mathematics, Physics, Electrical ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB · On-site

... Mathematics, Engineering, or a related field. Advanced degree (e.g., Master's, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset. 5-7+ years inriskmanagement, market data, model ...

Clio

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

High-Impact Modeling: * Own the development of "tier-1" models-those with the highest business risk ... Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative ...

Viridien

Seismic Imaging Analyst

Calgary, AB · Hybrid

... modeling to generate precise 3D images of the Earth's subsurface. This role empowers you to help ... You will learn to experiment with various mathematical and geophysical concepts while leveraging ...

Cgg

Seismic Imaging Analyst

Calgary, AB · Hybrid

... modeling to generate precise 3D images of the Earth's subsurface. This role empowers you to help ... You will learn to experiment with various mathematical and geophysical concepts while leveraging ...

Viridien

Seismic Imaging Analyst

Calgary, AB · Hybrid

... modeling to generate precise 3D images of the Earth's subsurface. This role empowers you to help ... You will learn to experiment with various mathematical and geophysical concepts while leveraging ...

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Showing results 21-40

All JobsMathematical Modeling JobsMathematical Modeling Jobs in Alberta

Mathematical Modeling information

See Alberta salary details

$23.5K

$91.4K

$183K

How much do mathematical modeling jobs pay per year?

As of Jul 25, 2026, the average yearly pay for mathematical modeling in Alberta 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 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 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.

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 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.

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.

More about Mathematical Modeling jobs
What are popular job titles related to Mathematical Modeling jobs in Alberta? For Mathematical Modeling jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Alberta look for? The top searched job categories for Mathematical Modeling jobs in Alberta are:
Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Alberta as of July 2026, with employment types broken down into 72% Full Time, 20% Part Time, and 8% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $91,393 per year, or $43.9 per hour.

Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Posted 18 days ago

Job description

Machine Learning Engineer

Location: Calgary, AB, Canada. Full-time.

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

Preferred Education
  • Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
Key Skills & Competencies
  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills in C, C++, R, Java, Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects
  • Effective communication skills to keep all stakeholders regularly informed on progress
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction
Other Skills/Experience
  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development
Responsibilities
  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Provide support to achieve successfully deployed models at conclusion of projects
  • Plan and manage data analysis workflows
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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