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Part Time Data Science Jobs in Ontario (NOW HIRING)

Group Underwriting Consultant

Toronto, ON · Hybrid

CA$90/hr

  • Retirement

  • PTO

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Data Science, or related fields * Completed Group Benefits Associate (GBA) and actively pursuing ...

Part-Time Lecturer - Analytics (Toronto)

Toronto, ON · On-site

CA$2.0K/wk

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This degree prepares students for entry- and mid-level roles in analytics, such as data analyst ... Preference for candidates with a PhD in a sciences field, or similar. Demonstration of teaching at ...

Business Analyst

Toronto, ON · On-site

CA$60K - CA$89K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Post-secondary diploma/degree or equivalent experience in a relevant field (Finance, Data Science ... Here's what you can expect as a full-time or part-time permanent team member: * Career Development

Business Analyst

London, ON

CA$60K - CA$89K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Post-secondary diploma/degree or equivalent experience in a relevant field (Finance, Data Science ... Here's what you can expect as a full-time or part-time permanent team member: * Career Development

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.

Catastrophe Risk Specialist

Ottawa, 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.

Catastrophe Risk Specialist

Kitchener, 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.

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.

Showing results 21-40

Part Time Data Science information

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.

What are the most commonly searched types of Data Science jobs in Ontario?

The most popular types of Data Science jobs in Ontario are:

What are popular job titles related to Part Time Data Science jobs in Ontario?

For Part Time Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Part Time Data Science jobs in Ontario look for?

The top searched job categories for Part Time Data Science jobs in Ontario are:

What cities in Ontario are hiring for Part Time Data Science jobs?

Cities in Ontario with the most Part Time Data Science job openings:

Infographic showing various Part Time Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Scientific Document Specialist - Fully Remote | Upto $50/hr Part-time

Mercor

Toronto, ON • Remote

CA$50/hr

Part-time

Re-posted 13 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Applied Sciences — Visual Document Understanding
Type: Contract
Compensation: $50/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content in Physics, Chemistry, and Biology to strengthen reasoning and rigor in model outputs.
  • Review complex scientific documents for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Expertise in Physics, Chemistry, or Biology.
  • Experience in AI model evaluation.
  • Strong analytical and problem-solving skills.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.