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Part Time Data Scientist Jobs in Calgary, AB (NOW HIRING)

Wawanesa Insurance

Catastrophe Risk Specialist

Calgary, AB · Hybrid

CA$85K - CA$115K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Analyze historical data, scientific research, and insurance claims to enhance model accuracy.

ERM

Environmental Field Technician (Field Based)

Calgary, AB · On-site

CA$30.28 - CA$34.59/hr

Start Your Environmental Career Where Science Meets RealWorld Impact Join a global environmental ... ERM is hiring for a project-based, part-time (minimum 30 hours per week), limited-term role based ...

All JobsData Scientist JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in Calgary, AB

Part Time Data Scientist information

See Calgary, AB salary details

$9

$37

$86

How much do part time data scientist jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for part time data scientist in Calgary, AB is $37.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $58.17 per hour, depending on experience, location, and employer.

What does a part-time data scientist do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Calgary, AB? The most popular types of Data Scientist jobs in Calgary, AB are:
What job categories do people searching Part Time Data Scientist jobs in Calgary, AB look for? The top searched job categories for Part Time Data Scientist jobs in Calgary, AB are:
Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,443 per year, or $37.7 per hour.

Catastrophe Risk Specialist

Wawanesa Insurance

Calgary, AB • Hybrid

CA$85K - CA$115K/yr

Full-time, Part-time

Retirement, PTO

Re-posted 16 days ago

Job description

Job ID: 10138 


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; Vancouver, BC; Calgary, AB; Edmonton, AB; Toronto (North York), ON; Kitchener, ON. 

Working Business Language: English.This role is considered a head-office role and will be required to communicate with internal and external stakeholders across Canada where the primary business language for this role is English.  As such, the successful candidate must be fully proficient in 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: $85,000 - $115,000.  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 to the Manager, Catastrophe Risk, this role is responsible for analytics and modeling capabilities within our Catastrophe Risk Management team. This includes data extraction and manipulation for the purpose of modeling, reporting, and exposure accumulation. The role will collaborate with various pricing and underwriting teams to assist in the implementation of catastrophe models and monitoring of exposure accumulations. 

Job Responsibilities

  • Develop and calibrate catastrophe perils using industry-standard software (e.g., RMS, VERISK, etc.). 
  • Analyze historical data, scientific research, and insurance claims to enhance model accuracy. 
  • Collaborate with actuaries, underwriters, and analysts to understand risk exposures, and manage exposure accumulations. 
  • Interpret model outputs and assumptions from multiple models to help form a view of risk. 
  • Coordinate with risk management partners the independent review of model performance, documentation, and validation. 
  • Conduct sensitivity analysis and scenario testing to evaluate the impact of different variables on risk assessments. 
  • Proactively share knowledge in catastrophe-related areas, create learning experiences and foster teamwork and cross-functional collaboration. 
  • Communicate findings and recommendations to stakeholders through reports, presentations, and technical documentation. 
  • Stay updated with industry advancements, regulatory requirements, and best practices in catastrophe modeling. 
     
Qualifications
  • Bachelor's degree in mathematics, statistics, actuarial science, atmospheric science, geospatial science or related field. 
  • 3+ years' experience in a catastrophe modelling role using one or both of RMS and AIR Verisk. 
  • Proficiency in catastrophe modeling software, programming languages such as R, SQL, or similar for data manipulation and modeling. 
  • Strong analytical skills with a deep understanding of risk assessment and modeling techniques. 
  • Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders. 
  • Experience in insurance, reinsurance, catastrophe model development, catastrophe risk pricing or risk management is an asset. 
  • Certification or coursework in catastrophe modeling, risk management (e.g., CPCU, ARe) or actuarial exams is an asset. 
  • #LI-WAWA
     


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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