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Data Science Consultant Jobs in Quebec (NOW HIRING)

Kronos Consulting

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Data Analyst - Power BI

Montreal, QC · On-site

$50/hr

Bachelor's degree in Data Analytics, Computer Science, or related field . * 2-5 years of relevant Data Analyst/BI experience. * Strong Power BI skills; Tableau experience is also valuable.

New

Kronos Consulting

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French Bilingual Data Platform Engineer

Montreal, QC · On-site

CA$65 - CA$67/hr

Bachelor's degree in Computer Science, Engineering, or a related field. A master's degree is an asset. * At least 6 years of experience in data engineering with strong hands-on coding in Python ...

New

Flexspring, Inc

Integration Consultant

Montreal, QC · Remote

Collaborate with Project Managers to review client data mappings and technical specifications ... Bachelor's degree or college diploma in Software Engineering, Computer Science, or a related field ...

Actalent

Data Center Technician

Montreal, QC

CA$28 - CA$31/hr

... et de science grâce à l'accès à des experts spécialisés qui favorisent l'échelle ... Avec un réseau de près de 20 000 consultants et 5 000 clients à travers les États-Unis, le ...

Kyndryl

Senior Cloud Consultant

Montreal, QC

Define target-state cloud architectures (multi-cloud / hybrid), including application, data ... Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (MBA or ...

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Data Science Consultant information

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How much do data science consultant jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data science consultant in Quebec is $56.94, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $68.75 per hour, depending on experience, location, and employer.

What is a data science consultant?

Data Science Consultants are professionals who use statistical analysis, machine learning, and data modeling to help organizations solve business problems and make informed decisions. They typically work with clients to understand their data-related challenges, develop tailored analytical solutions, and communicate actionable insights. Their expertise spans across data collection, data cleaning, predictive analytics, and data visualization, enabling businesses to leverage data for strategic advantage. Data Science Consultants often work on a project basis, either independently or as part of consulting firms, serving clients in various industries.

What are the key skills and qualifications needed to thrive as a data science consultant, and why are they important?

To thrive as a Data Science Consultant, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools (e.g., Tableau or Power BI), and cloud platforms is commonly required, along with certifications such as AWS Certified Data Analytics or Google Data Engineer. Excellent communication, problem-solving abilities, and business acumen help consultants translate complex data insights into actionable recommendations for clients. These skills are vital to deliver tangible business value, bridge technical and non-technical stakeholders, and drive data-driven decision-making.

How does a data science consultant typically collaborate with clients and internal teams during a project?

Data Science Consultants work closely with both clients and internal stakeholders to understand business objectives, gather requirements, and translate them into analytical solutions. They often facilitate workshops or meetings to clarify goals, then collaborate with data engineers, analysts, and subject matter experts to design and implement models. Regular communication is essential, as consultants must present findings in accessible terms, adjust methodologies based on feedback, and ensure solutions are actionable for the client’s needs. This cross-functional collaboration is key to delivering value and building long-term client relationships.

What are popular job titles related to Data Science Consultant jobs in Quebec?

For Data Science Consultant jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Science Consultant jobs in Quebec look for?

The top searched job categories for Data Science Consultant jobs in Quebec are:

Data Science Consultant jobs near you
Infographic showing various Data Science Consultant job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,434 per year, or $56.9 per hour.

Project Manager, Load Forecasting & Asset Analytics

BBA, Inc.

Montreal, QC

Full-time

Re-posted 9 days ago

Job description

An overviewof your future role

BBA is a national, employee-owned, multi-disciplinary engineeringand services firm with offices coast to coast, in the U.S. and abroad. We havean established Power and Renewables business line, which comprises PowerAdvisory and Asset Management (PAAM), Transmission and Distribution (T&D),Wind and Solar, Storage, Hydropower and Industrial Power groups. We want tostrengthen our position in the PAAM group and Power Markets segment acrossCanada. As Project Manager, you'll be responsible for delivering load forecastingand asset analytics projects in the North American power utility market. You'llleverage your expertise, industry knowledge, client relationships andengineering/data science experience to achieve our objectives. This role is agreat position for being at the forefront of helping our clients meet thechallenges of the energy transition.

You'll deliver asset condition assessment and asset analyticsprojects for utility clients. This role provides structured project governance,commercial oversight and stakeholder coordination across multidisciplinaryteams, enabling technical consultants to focus on delivering high-qualityanalytical outputs.

Unlike technical project leads, project managers are accountablefor end-to-end project performance, including schedule, budget, risk and clientengagement across multiple workstreams.

With us, you'll get the opportunity to... 

Project governance and delivery oversight

  • Establish and manage overall project governance structures and reporting cadences
  • Develop integrated project plans covering:
    • Data acquisition
    • Asset inspections (if applicable)
    • Analytics/modelling phases
    • Reporting and recommendations
  • Coordinate across multiple workstreams led by technical consultants
  • Ensure alignment between technical delivery and contractual scope

Schedule and resource management

  • Build and maintain detailed schedules across analytics, engineering, and client activities
  • Coordinate resource allocation across:
    • Asset analytics teams
    • Engineering SMEs
    • Data specialists
  • Identify bottlenecks (e.g., data availability, SME constraints) and proactively resolve them
  • Ensure workload balancing across concurrent projects

Budget and commercial management

  • Own project financials, including:
    • Budget tracking and forecasting
    • Burn rate monitoring
    • Margin protection
  • Manage scope changes, variations and contract adjustments
  • Support invoicing and revenue recognition milestones

Stakeholder and client management

  • Serve as the primary non-technical point of contact for client stakeholders
  • Structure and lead:
  • Steering committee meetings
  • Status updates
  • Risk/issue discussions
  • Ensure alignment between client expectations and technical outputs
  • Support consultants in translating complex analytics into decision-ready messaging

Risk, issue and dependency management

  • Maintain and actively manage:
    • Risk registers
    • Issue logs
    • Dependency tracking (especially data and client inputs)
  • Anticipate risks specific to asset analytics projects:
    • Data quality/availability issues
    • Model validation delays
    • Regulatory or stakeholder review cycles
  • Lead mitigation planning and escalation when needed

Integration with technical teams

  • Work closely with consultants/advisors leading asset analytics to:
    • Align timelines with modelling and analysis cycles
    • Ensure clarity of deliverables and milestones
    • Avoid overloading technical resources with admin overhead

Quality and deliverables coordination

  • Ensure consistency and completeness of deliverables across workstreams
  • Coordinate internal reviews before client submissions
  • Enforce adherence to delivery standards and templates
  • Support development of repeatable delivery models for asset analytics projects

Do your qualities and values match ourcorporate culture?
  • Autonomous
  • Aptitude for self-development
  • Results-driven
  • Excellent communication and soft skills
  • Attention to detail
  • Strong organizational skills
  • Thirst to learn and excel
  • Rigorous and ethical
  • Caring mindset that puts people first

Apply