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Part Time Data Science Jobs in Toronto, ON (NOW HIRING)

Wawanesa Insurance

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

  • Retirement

  • PTO

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.

Humber River Health

Stores Clerk

Toronto, ON

CA$29.61 - CA$30.94/hr

  • Medical

  • Retirement

Employment Status: Part-time Hours of Work: Must be available for all rotating shifts- days ... Computer experience and demonstrated data entry skills ability are required. * Ability to operate ...

NorthEastern

Part-Time Lecturer (SEIS - Toronto)

Toronto, ON

CA$3.6K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... science of designing intricate software applications especially in the areas of healthcare, ... Courses include application engineering and development, engineering big-data systems, and ...

City of Toronto

SYSTEMS INTEGRATOR 1

Toronto, ON

CA$52.38 - CA$57.39/hr

Prepares Plans, Gap Analysis, Logical Data Models and Design documents for proposed solutions ... Post-Secondary Education in computer science or related discipline or an equivalent combination of ...

City of Toronto

PROGRAM EVALUATOR

Toronto, ON

CA$52.38 - CA$57.39/hr

Master's degree in Health Sciences, Applied Social Sciences, Health Administration or an equivalent ... NOTE TO INTERNAL FULL-TIME AND PART-TIME CITY OF TORONTO EMPLOYEES: City of Toronto employees must ...

Baycrest

Research Programmer

Toronto, ON · Hybrid

CA$82/hr

Data entry and data correction. * Performs IT-Technician duties, as required, or as needs arise ... Bachelor degree in Computer Science. Required skills/experience: * Skilled in Python, HTML, Apache ...

BMO Capital Markets

Tech Lead, AI Engineering

Toronto, ON · Hybrid

CA$75K - CA$141K/yr

  • Medical

  • Life

  • Retirement

Integrates data from multiple sources (structured and unstructured) while addressing security ... Experience & Education * University degree in Computer Science, Engineering * 8+ years of ...

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

As of Aug 15, 2026, the average hourly pay for part time data science in Toronto, ON is $44.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.68 and $66.53 per hour, depending on experience, location, and employer.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

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, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
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Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Part Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $93,156 per year, or $44.8 per hour.

Catastrophe Risk Specialist

Wawanesa Insurance

Toronto, ON • Hybrid

CA$85K - CA$115K/yr

Full-time, Part-time

Retirement, PTO

Re-posted 21 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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