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Modelling Jobs in Montreal, QC (NOW HIRING)

Make the calls on structure, data modelling and integrations, and document why. - Run the infrastructure. Linux servers, deployments, CI/CD, monitoring, backups and incident response. - Build our LLM ...

Make the calls on structure, data modelling and integrations, and document why. * R un the infrastructure. Linux servers, deployments, CI/CD, monitoring, backups and incident response. * B uild our ...

Make the calls on structure, data modelling and integrations, and document why. * R un the infrastructure. Linux servers, deployments, CI/CD, monitoring, backups and incident response. * B uild our ...

Senior Professional, Geochemistry

Montreal, QC · On-site

CA$104K - CA$138K/yr

Proven experience in geochemical sampling design, data interpretation, and modelling using industrystandard software (e.g., GoldSim, PhreeqC, MIN3P, CEQUALW2, GWB). * Strong technical writing ...

Senior Professional, Geochemistry

Montreal, QC · On-site

CA$104K - CA$138K/yr

Proven experience in geochemical sampling design, data interpretation, and modelling using industrystandard software (e.g., GoldSim, PhreeqC, MIN3P, CEQUALW2, GWB). * Strong technical writing ...

Showing results 41-60

Modelling information

See Montreal, QC salary details

$12

$48

$80

How much do modelling jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for modelling in Montreal, QC is $48.64, according to ZipRecruiter salary data. Most workers in this role earn between $36.20 and $61.36 per hour, depending on experience, location, and employer.

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.
Infographic showing various Modelling job openings in Montreal, QC as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 45% In-person, 33% Hybrid, and 22% Remote job distribution, with an average salary of $101,175 per year, or $48.6 per hour.

Expert, Information Architecture

Canadian National Railway Company

Montreal, QC • On-site

Full-time

Re-posted 23 days ago


Key responsibilities

  • Translate customer systems requirements and business processes into information architecture models.

  • Develop, communicate, and govern information architecture strategy, standards, guidelines, diagrams, and models.

  • Design and lead the data model and overall architecture of the data, ensuring alignment with standards and policies.


Canadian National Railway rating

7.5

Company rating: 7.5 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

137th of 366 rated logistics


Job description

Expert, InformationArchitecture

At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you're part of making sure our business is running optimally and safely-helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

Job Summary The Expert, Information Architecture is responsible for ensuring, via models, standards, technologies, and processes, that information is handled as a strategic business. The role is for a driven information architect to help build the next generation cloud and web native applications for CN's new customer facing portals. The new portal aims to service both existing and new customers and use-cases and will help bridge the gap between legacy systems and modern applications and flows. Main Responsibilities

       Understand CN's customer systems requirements and business processes and translates them into information architecture models.

       Develop, deliver, maintain, communicate, and govern information architecture strategy, standards, guidelines, diagrams, and models.

       Identify and resolve gaps between solution conceptual models and the Business Information Model (BIM) as well as gaps between solution logical models and the enterprise logical data model

       Understand and govern business processes related to Customer Services applications.

       Using Domain Drive Design to ensure alignment and architecture across domains.

       Define the data architecture framework, standards, and principles, including modelling, metadata, security, reference data, master data, versioning, lineage, and data lifecycle.

       Lead architectural discussions and design exercises to educate best practices for data management

       Define the policies, procedures, models to be used in collecting, organizing, storing, and accessing information

       Design conceptual data, logical data, and business process models

       Communicate deliverables with software engineering and supporting the development of logical and physical data models

       Design and lead the data model and overall architecture of the data

       Ensure alignment with corporate information standards, policies, solution, technology, and business architecture

       Participate in relevant recurring architecture & design meetings

       Work with peer architects, providing guidance on a comprehensive governance model to ensure solutions are developed according to the developed information architecture

 Requirements 

Information Architecture

       Minimum 10 years of overall work experience

       Minimum 5 years demonstrating technical leadership qualities or overseeing deliverables

       Between 7 to 10 years experience in a similar role

.   Experience understanding, designing, and implementing information architectures that enable well-integrated transactional, collaborative and analytical systems

.   Experience with various information modelling types and techniques at the enterprise level

       Inspires others with impactful communications and adapts to the audience through speech and writing 

       Applies analytical thinking

       Innovates through problem solving

       Knows the business and stays current with industry trends to elevate expertise and work

       Demonstrates organizational abilities

       Collaborates with key internal stakeholders to enable higher productivity

       Works independently with little supervision

Technical Skills/Knowledge

       Expert Knowledge of taxonomies and ontologies, as well as the challenges of applying structured techniques (data modelling) to less structured sources

       Expert Knowledge of designing high volume, high performance transactional applications and services data using information, data and integration patterns.

       Good Knowledge of business intelligence, data warehousing, relational and
non-relational database management systems, and other data structures.

       Good Knowledge of best practices and latest trends in the information architecture practice (e.g., Non-Structured Query Language (NoSQL), Master Data Management (MDM), Big Data).

       Knowledge of Information and Enterprise Architecture tools such as Ardoq, Enterprise Architect SparX, Erwin, Microsoft Visio or others*

       Knowledge of rail, transportation, or logistics industry*

*Any knowledge for any of the above would be considered as an asset

Education

       Bachelor's degree in computer science, Information Systems, or equivalent demonstrated experience

About CN  

CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada's Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results. 



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