1

Science Visualization Jobs in Quebec (NOW HIRING)

... Science, Finance, or Economics * Exceptional skills in calculation, analysis, and investigation * Experience with large datasets, data analysis, and data visualization * Experience with QRM, Python ...

... Science, Finance, or Economics * Exceptional skills in calculation, analysis, and investigation * Experience with large datasets, data analysis, and data visualization * Experience with QRM, Python ...

... Science, Finance, or Economics * Exceptional skills in calculation, analysis, and investigation * Experience with large datasets, data analysis, and data visualization * Experience with QRM, Python ...

... Science, Finance, or Economics Exceptional skills in calculation, analysis, and investigation Experience with large datasets, data analysis, and data visualization Experience with QRM, Python, SQL ...

next page

Showing results 1-20

Science Visualization information

What jobs are good for visual thinkers?

Science visualization is well-suited for visual thinkers, as it involves creating visual representations of complex scientific data and concepts. Roles often require skills in graphic design, 3D modeling, and data interpretation, with tools like Adobe Creative Suite or visualization software. These jobs typically demand strong spatial reasoning and the ability to communicate information visually to diverse audiences.

How does a Science Visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

What are the key skills and qualifications needed to thrive as a Science Visualization Specialist, and why are they important?

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What does a scientific visualizer do?

A scientific visualizer creates visual representations of complex scientific data and concepts to improve understanding and communication. They often use tools like 3D modeling, animation, and visualization software, and may work closely with researchers to accurately depict phenomena or data sets.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as scientific visualization specialist, data visualization designer, or multimedia artist, often requiring skills in software like Adobe Creative Suite, Blender, or Tableau. These jobs typically involve creating visual representations of complex data or scientific concepts for research, education, or communication purposes.
What are popular job titles related to Science Visualization jobs in Quebec? For Science Visualization jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Quebec look for? The top searched job categories for Science Visualization jobs in Quebec are:
Infographic showing various Science Visualization job openings in Quebec as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Artificial Intelligence Strategy Practice Leader

Desjardins Group

Montreal, QC โ€ข Hybrid

Full-time

Medical, Retirement, PTO

Posted 13 days ago


Job description

As an Artificial Intelligence Strategy Practice Leader, you play a key role in the Office of the Chief Data Officer, which helps various sectors across the organization generate, prioritize and implement analytics and AI initiatives. Your mandate is to help teams take full advantage of data and AI to achieve their business objectives. You work closely with business partners to understand their challenges, identify opportunities and align analytical efforts with the organization's strategic priorities. You also play a strategic role with senior management and decision-making bodies. You take part in governance committees, recommend priorities to design and prioritize AI initiatives and help update the organization's strategic and technological governance documents. This is a strategic position that requires expertise in AI and AI strategy, along with the ability to work in a complex and dynamic environment. More specifically, you'll be required to:

  • Help business sectors create, prioritize and adopt AI opportunities, aligned with business priorities.
  • Help business sectors develop their AI strategies.
  • Act as the main point of contact for AI between the business sectors and the Office of Desjardins Group's Chief Data and Analytics Officer.
  • Monitor market trends and internal AI activity across business sectors and support functions to identify analytical opportunities.
  • Hold brainstorming sessions to explore process-focused AI opportunities in different business sectors and decide which projects to prioritize.
  • Create mandate sheets for AI opportunities, capturing the business goal, context, expected value, data requirements, and level of complexity.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

*Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in a related field: data science, engineering or business administration with a specialization in AI
  • A minimum of eight years of relevant experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Experience in managing cross-sector projects, leading teams and communicating with senior management
  • Experience analyzing business processes to identify pain points, inefficiencies, and errors, and find tangible, value-added AI opportunities
  • Experience working collaboratively and building strong partnerships with various sectors of the organization
  • Experience providing support as part of a data- and analytics-driven organizational transformation
  • Experience in AI consulting
  • Knowledge of French is required
  • Advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
  • Expertise in identifying and exploiting AI opportunities related to tech trends
  • Knowledge of analytics tools (machine learning, visualization) and cloud-based data platforms
  • Knowledge of the banking, wealth management and/or insurance industries

Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)

Unposting Date

2026-07-17