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Data Science Consultant Jobs in Alberta (NOW HIRING)

Intact Financial

Consultant, Actuarial

Calgary, AB · Hybrid

... teams! We're currently seeking Consultants in Actuarial! What you'll do here: * Actively ... data science, reserving and more. * Use your expertise to lead large-scale actuarial projects.

ERM

Consultant, Aquatic Biologist

Calgary, AB · On-site +1

CA$73K - CA$94K/yr

... and consulting career. What Your Impact Is * Advance highquality aquatic science through rigorous ... Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ...

Erm

Consultant, Aquatic Biologist

Calgary, AB · On-site +1

CA$73K - CA$94K/yr

... and consulting career. What Your Impact Is * Advance highquality aquatic science through rigorous ... Strengthen data integrity and scientific defensibility through diligent QA/QC and methodological ...

PRI Consultants

Civil EIT

Calgary, AB · On-site

Participate in fieldwork, including stream and drainage assessments, data collection, construction ... PRI is a multidisciplinary engineering and natural sciences consulting firm. We are an equal ...

Synechron

Frontend Developer

Calgary, AB · Hybrid

CA$90K - CA$100K/yr

... Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of ... Bachelor's degree in Computer Science or a related field (or equivalent experience) * 5+ years of ...

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All JobsData Science Consultant JobsData Science Consultant Jobs in Alberta

Data Science Consultant information

See Alberta salary details

$12

$56

$91

How much do data science consultant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data science consultant in Alberta 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.

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 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 much does a data science consultant make?

Data science consultants typically earn between $70,000 and $150,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in machine learning and data analysis can earn higher salaries, especially when working on complex projects or for large organizations.

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

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

Data Science Consultant jobs near you
Infographic showing various Data Science Consultant job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $118,434 per year, or $56.9 per hour.

Senior Model Risk & Validation Consultant

Wawanesa Insurance

Edmonton, AB • Hybrid

CA$120K - CA$145K/yr

Full-time, Part-time

Retirement, PTO

Re-posted 10 days ago

Job description

Job ID: 10224 


Employment Type: New 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: $120,000 - $145,000. 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

Reporting into the Enterprise Risk Management function, the Senior Model Risk & Validation Consultant plays a key role in independent review, validation, and challenge of models across the enterprise, including traditional statistical models, actuarial models, machine learning and AI systems.
This role supports the organization's compliance with OSFI Guideline E 23 and evolving regulatory expectations for AI governance, fairness, transparency, and explainability, while promoting strong model risk governance and risk aware decision making across the enterprise. 
The successful candidate will bring strong data science and quantitative modeling expertise, combined with experience in model validation, independent review, or second line oversight, and will work with a high degree of autonomy to challenge model assumptions, methodologies, and controls.

Job Responsibilities

Independent Model Validation & Challenge

  • Conduct independent validation and effective challenge of enterprise wide models across the full model lifecycle, in line with OSFI Guideline E 23.
  • Review model conceptual soundness, data inputs, assumptions, methodology, performance, stability, limitations, and intended use.
  • Assess model risk severity and the adequacy of controls, overlays, monitoring, and governance arrangements.
  • Provide independent validation and risk challenge of AI and ML models, including data quality, bias, explainability and performance monitoring
  • Evaluate model reproducibility, explainability, documentation quality, and transparency.

Model Risk Governance

  • Contribute to the ongoing enhancement of the Model Risk Management Framework, including model inventory management, risk classification, validation standards and documentation requirements.
  • Support Model Risk Adjudication Committee (MRAC) activities by: 
    • Managing and updating enterprise model inventory.
    • Preparing independent validation summaries and risk assessments.
    • Tracking findings, remediation actions, and residual risk acceptance decisions.
    • Provide input into updates to model risk policies, procedures, and guidance, aligned with OSFI and AMF expectations.
    • Promote strong model development and monitoring practices across the organization through guidance, challenge, and education. 
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in data science, actuarial science, computer sciences, mathematics, statistics or other related discipline.
  • More than six years of model development or validation experience an asset.
  • Strong programming skills with Python and SQL.
  • Experience validating or reviewing statistical, predictive, machine learning models and AI systems. 
  • Ability to clearly explain complex technical concepts to non technical stakeholders.

#LI-AF1 #LI-Hybrid


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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