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Mathematical Modeling Jobs in Alberta (NOW HIRING)

Seequent

Senior Data Scientist

Calgary, AB · Hybrid

... mathematics, computer science. * 7+ years of experience research and development in machine learning - including deep learning and advanced techniques. * Experience using large language models.

NRG Energy

Data Scientist

Calgary, AB · On-site

Model Development, Validation & Monitoring * Design, build, validate, and maintain predictive ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

New

NRG

Data Scientist

Calgary, AB · On-site

Model Development, Validation & Monitoring * Design, build, validate, and maintain predictive ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

New

NRG Energy

Data Scientist

Edmonton, AB · On-site

Model Development, Validation & Monitoring * Design, build, validate, and maintain predictive ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

New

KPMG

Manager, ML/AI Engineer, Data & AI

Calgary, AB · On-site

Implement model monitoring, performance tuning, drift detection, and retraining strategies in ... University degree in computer science, engineering, data science, mathematics, or a related ...

Vallen

... Mathematics, or related discipline preferred). * Advanced knowledge of Microsoft Office required. * Advanced Microsoft Excel skills including modeling, analysis, and database tools. * Strong ...

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 ...

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 ...

Tcenergy

Gas Market Analyst

Calgary, AB · Hybrid

Build and maintain analytical models that support fuel planning, generation forecasting, and ... University degree in Economics, Commerce, Business, Finance, Statistics, Engineering, Mathematics ...

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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 Sep 4, 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 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.
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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $91,393 per year, or $43.9 per hour.

Senior Data Scientist

Seequent

Calgary, AB • Hybrid

Full-time

Posted 16 days ago

Key responsibilities

  • Solve geoscience challenges by developing and optimizing AI/ML algorithms, including Large Language Models, to address customer workflows.

  • Lead data acquisition, analyze data integrity, and develop data cleaning strategies to prepare datasets for model development.

  • Analyze user challenges and workflows to design, maintain, and deploy innovative machine learning applications.

Job description

About the role 

You will be part of Seequent Labs, a research, prototyping, and data science team with a culture of experimentation and customer engagement. As a Senior Data Scientist, you will contribute to a multi-disciplinary team with your expertise in generative AI, agentic AI, machine learning and data though novel and creative applications in subsurface modelling. Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning.

In this role, you will have the opportunity to: 

Technical Skills and Problem-Solving

  • Problem-solve geoscience challenges using advanced machine learning and AI technologies, including Large Language Models (LLMs).
  • Develop and optimize AI/ML algorithms using accepted best practices, rigorously assessing model performance and resilience.
  • Deliver high-quality, user-friendly prototypes and integrated algorithms that directly address customer needs and workflows.

Data Management

  • Lead data acquisition efforts from various sources while rigorously analyzing data integrity and quality.
  • Develop comprehensive data cleaning strategies and prepare robust training datasets for model development.

Research and Development

  • Analyze user challenges and workflows to deeply integrate into all aspects of designing, maintaining, and deploying innovative ML applications.
  • Maintain a technological watch over the AI/ML landscape, staying up-to-date with relevant scientific literature and research.

Communication and Collaboration

  • Prepare and present compelling reports on results to peers, internal stakeholders, and end-users.
  • Collaborate and share knowledge to actively grow the AI team's capabilities and find efficient, intuitive ways to communicate complex data.

Professional Growth and Contribution

  • Expand the organization's overall capability in the AI space while actively learning workflows in subsurface modeling (geomodeling, geophysics, geostatistics).

To be successful in this role, you should have: 

  • BSc, MSc, or PhD in machine learning or a related specialty in data science, a quantitative science, mathematics, computer science.
  • 7+ years of experience research and development in machine learning - including deep learning and advanced techniques.
  • Experience using large language models.
  • Experience with LangChain and LangGraph.
  • Experience with complex orchestration of agentic solutions.
  • Experience with AI models for solving problems related to imagery, GIS and or 3D data e.g. point cloud and meshes is preferred.
  • Commercial software development experience is preferred.
  • Experience working with cloud-based data solutions.
  • Programming and use of tools related to our area of practice such as: Python, PyTorch.
  • Experience using modern data plotting libraries (D3, plotly).

The ideal candidate will also possess the following qualities:

  • Outstanding interpersonal skills to cultivate and sustain strong, collaborative partnerships across teams.
  • Proven ability to rapidly deep-dive into unfamiliar topics, synthesize information, and master new concepts with speed.
  • A persistent, solution-oriented mindset with a genuine enthusiasm for tackling complex problems and continuous learning.

Additional Information

This is a hybrid position, and you are required to be in the Calgary office two days a week.

Seequent is a global company, and flexibility in working hours may be required to accommodate work across different time zones.

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