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Modelling Jobs in Alberta (NOW HIRING)

ALS

Geodata Scientist

Calgary, AB · Remote

You will deliver consulting projects focused on prospectivity analysis, geoscience data integration, and predictive modelling, collaborating with clients and internal teams to produce actionable ...

Aon Corporation

ALM Director, Consultant

Calgary, AB · On-site

ALM Director, Consultant Aon is seeking an experienced ALM Director, Consultant to join our Global Life Risk Modelling team. In this role, you will help develop sophisticated asset-liability ...

HUB

Data Scientist

Calgary, AB · On-site

Strong Python skills for analysis, modelling, and automation (pandas, scikit-learn, NumPy), plus practical experience with ML Algorithms such as Random Forest, Recommender Systems or Clustering.

HUB

Data Scientist

Red Deer, AB · On-site

Strong Python skills for analysis, modelling, and automation (pandas, scikit-learn, NumPy), plus practical experience with ML Algorithms such as Random Forest, Recommender Systems or Clustering.

Aon Corporation

ALM Director, Consultant

Edmonton, AB · On-site

ALM Director, Consultant Aon is seeking an experienced ALM Director, Consultant to join our Global Life Risk Modelling team. In this role, you will help develop sophisticated asset-liability ...

HUB

Data Scientist

Edmonton, AB · On-site

Strong Python skills for analysis, modelling, and automation (pandas, scikit-learn, NumPy), plus practical experience with ML Algorithms such as Random Forest, Recommender Systems or Clustering.

Eavor

Manager, Project Delivery

Calgary, AB · On-site

Strong background in techno-economic modelling, financial analysis, and project economics including equity and debt financing structures * Exposure to upstream oil and gas, geothermal, renewables ...

Farm Credit Canada

Senior Data Scientist

Calgary, AB · Hybrid

Provenexpertisein predictive and descriptive analytics techniques and statistical modelling * Demonstratedproficiencywith SAS, MS Power BI, AWS tools, R and Python * Strong mathematical or ...

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All JobsModelling JobsModelling Jobs in Alberta

Modelling information

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.

What are the key skills and qualifications needed to thrive as a model?

To thrive as a Model, you need physical fitness, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Do beginner models get paid?

Beginner models can get paid, but the amount varies depending on the type of modeling, the market, and the agency. Some beginner models work for free or for portfolio development, while others earn hourly or project-based fees once they gain experience and build a portfolio. Payment terms are typically outlined in contracts or agency agreements.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good appearance, confidence, and understanding of industry standards can improve chances of success.

What cities in Alberta are hiring for Modelling jobs?

Cities in Alberta with the most Modelling job openings:

Modelling jobs near you
Infographic showing various Modelling job openings in Alberta as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 80% Physical, 11% Hybrid, and 9% Remote job distribution.

Actuarial Expert - Pricing Modeling

Wawanesa Insurance

Lloydminster, AB • Hybrid

Full-time, Part-time

Retirement, PTO

Re-posted 24 days ago

Job description

Job ID: 10155 


Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS. 

Working Business Language:  English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English. 
 

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan. 
 

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $135,000 - $170,00. Candidates with salary expectations outside of the range are still encouraged to apply. 

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada's largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.


Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

As an Actuarial Expert within the Pricing Modelling team, you will provide technical leadership in advancing Wawanesa's loss cost and demand modelling capabilities. You will serve as a trusted voice on key modelling decisions, help shape future modelling priorities, and lead high-impact projects that support the development of efficient, accurate, and maintainable modelling processes.

Job Responsibilities
  • High degree of mastery over accessing, selecting, and interpreting data. Works independently. Mastery over multiple types of analytical tools. Evaluates procedures and processes, and recommend alternatives or improvements.
  • Subject matter expert on valuable analytical methods Strong ability to innovate on complex projects Automates routine tasks to focus on high-leverage work items. 
  • Able to design and implement robust processes that make work easier for themselves and their peers.
  • Develops creative approaches to solve complex issues and assesses impacts of solution options.
  • A leader in the actuarial community.
  •  May include teaching, volunteering, or authoring papers to advance actuarial knowledge.
  • Brings that knowledge and experience to Wawanesa's actuarial community. 
  • Regularly shares their expertise with other actuaries at Wawanesa.
  • Contributes to training materials.
  • Facilitates opportunities for others to learn. 
  • Keeps up with their professional development opportunities.
  • Has a strong network inside and outside of Wawanesa. 
  • Leverages rapport with stakeholders to keep people up to date on key projects.
  • Leads large-scale, complex and high-impact projects and initiatives across diverse project teams. 
  • Requires minimal oversight from management. Includes implementation of final product. Includes training and documentation of the project. 
  • Actively contributes to the mentorship, training and development of actuarial analysts and sometimes managers.
  • Creates coaching opportunities with analysts and managers to improve their technical abilities.
  • Performs thoughtful and relevant peer-review at a high level. Uses their expertise to raise the skill level of the people around them.
Qualifications
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or other related discipline.
  • More than ten years of actuarial experience an asset.
  • FCAS designation is an asset. 
  • Advanced communicator.
  • People trust the communications of an expert.
  • Leaves behind useful and functional documentation on projects. 
  • Strong negotiator and storyteller.
  • Uses graphs and data in a way that supplements their arguments.
  • Persuasive with the conclusions from their work. Often presents their work to Director + level. Fully proficient with Excel, SQL, R, Python, or other specialized programs. 
  • Leverages the right program(s) for the job.
  • Excellent problem solver. Integrates knowledge from actuarial science, math, statistics, general business to solve advanced problems. 
  • Often working on the highest-priority problems for Wawanesa. 
  • May offer recommendations for what are the highest-priority problems for Wawanesa to solve.
  • Others can trust that the Actuarial Expert has attended to the right details for their work. 
  • Attends to the right details for accuracy, reasonability, and consistency in their conclusions.
  • Ability to prioritize and complete multiple concurrent assignments, both individually and as a leader of a group, in a timely manner while proactively keeping leader informed of progress. 
  • Develops effective and accurate timelines for project planning.
  • Ability to work efficiently and co-operatively in a team environment. 
  • Ability to draw out insights from other team members, leveraging the experience of the full team. 
  • Ensures team members are applying current industry and professional standards to requirements and decisions. 
  • Analyzes impact on team's work when changes are made to relevant standards and recommends appropriate actions.

#LI-Hybrid #LI-AF1


Diversity Equity, Inclusion& Belonging
At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people - this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. 
 

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.
 

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.  
 

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