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Applied Mathematics Jobs in Alberta (NOW HIRING)

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... Strong grasp of statistics, probability, and the mathematics underpinning modern AI. * Linear ...

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... Strong grasp of statistics, probability, and the mathematics underpinning modern AI. * Linear ...

Systems Engineering expertise applied to complex technical solutions * Strong data analysis skills * Strong written and verbal communication skills * Bachelor's degree or higher in mathematics ...

Applicants wishing to tutor Mathematics and/or Physics must be currently enrolled in the second ... applied education. We encourage applications from women, Indigenous people, racialized people ...

Systems Engineering expertise applied to complex technical solutions * Strong data analysis skills * Strong written and verbal communication skills * Bachelor's degree or higher in mathematics ...

This position willbe responsible forassuring that all Rite-Hiteproduct isproperly applied and are ... Ability to work with mathematical concepts such as probability and statistical inference, and ...

Showing results 21-30

Applied Mathematics information

See Alberta salary details

$19.5K

$68.2K

$190K

How much do applied mathematics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for applied mathematics in Alberta is $68,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,000.00 and $75,500.00 per year, depending on experience, location, and employer.

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 Alberta?

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

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

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

Infographic showing various Applied Mathematics job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $68,233 per year, or $32.8 per hour.

Senior Data Scientist

Spgi

Calgary, AB

CA$90K - CA$160K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago


Key responsibilities

  • Develop and deploy large-scale ML and GenAI-powered products and pipelines.

  • Own all stages of the data science project lifecycle, including developing, deploying, monitoring, and scaling models into production.

  • Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for ML and GenAI approaches.


Job description

About the Role:

Grade Level (for internal use):

10

S&P Global Corporate

The Role: Senior Data Scientist

Location: Princeton, NJ, New York, N, or Charlottesville, VA. Toronto, ON, Calgary, AB, Mexico City, MX, or London, UK (hybrid -2 days onsite per week)

The Team:

The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and encouraged for thoughtful risk-taking and self-initiative.

The Impact:

  • The Collection Platforms & AI team has already delivered breakthrough products and significant business value over the last 5 years.
  • In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.

What's in it for you:

  • You will be part of a dynamic team that solves diverse problems using applied machine learning and web development with an end-to-end implementation of the solution: inception, prototyping, development, and productionizing.
  • Be a part of a global company and build solutions at enterprise scale.
  • Be a part of and grow with a highly skilled, hands-on technical team.
  • Contribute to solving high-complexity, high-impact problems end-to-end.
  • Build end-to-end production-ready pipelines from ideation to deployment.

Key Responsibilities

  • Develop and deploy large-scale ML and GenAI-powered products and pipelines.
  • Own all stages of the data science project lifecycle, including:

    Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).

    Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.

    Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics.

    Follow coding standards, perform code reviews, and optimize data science workflows.

    Evaluation, interpretation, and communication of results to executive stakeholders.

Technical Requirements:

  • Strong grasp of statistics, probability, and the mathematics underpinning modern AI.
    • Linear programming and optimization.
    • Multi-dimensional optimizers, such as Adam, SGD, Gradient Descent ...
    • Ability to adjust weights for full/partial tuning of LLMs.
  • Hands-on experience with any large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
  • Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers).
  • Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems.
  • Solid understanding of database structures and SQL.
  • Ability to perform independent research and synthesize current AI/ML research, with a track record of applying new methods in production.
  • Experience in end-to-end GenAI or advanced NLP projects, such as NER, table extraction, OCR integrations, or GNN solutions.
  • Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit.
  • Openness to evaluate and adopt emerging technologies and programming languages as needed.
  • Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications.
  • 5+ years in professional work within AI space or building statistical/mathematical quantitative models in production.

Preferred Qualification

  • Advanced technical degree (Master and above) in any of Sciences, Technology, Engineering and Mathematics.
  • Experience in productionizing AI applications.
  • Experience with multi-modal LLMs and integrating vision and text for autonomous agents.

Right to work requirements for US based out Candidates:

This role is open only for candidates with indefinite right to work within the USA.

Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $90,000 - $160,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

Right to work requirements for Canada based out candidates:

This role is open to candidates with indefinite right to work within Canada.

Compensation/Benefits Information: (This section is only applicable to Canadian Candidates:) S&P Global states that the anticipated range of compensation for this position is 95,000 CAD to 140,000 CAD. Final compensation for this role will be based on the individual's performance, geographic location, as well as experience level, skill set, training, licenses, and certifications. In accordance with Ontario's new regulations effective January 1, 2026, this job posting provides information on expected compensation. S&P Global will not be utilizing artificial intelligence in our hiring process. Additionally, we are committed to transparency and will inform all interviewed candidates of hiring decisions within 45 days of their interview. This posting is for an existing vacancy, and we encourage you to reach out for further information regarding our hiring practices or any questions you may have. Thank you for considering a career with us!

What's In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:

We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported toreportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activityhere.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to:EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person.
US Candidates Only:Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)