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Part Time Data Science Jobs in Manitoba (NOW HIRING)

Actuarial Intern

Winnipeg, MB · Hybrid

CA$26.53/hr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Data Collection * Research, extract, and manipulate complex data from relevant sources * Identify ...

Part Time Data Science information

See Manitoba salary details

$9

$46

$112

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

As of Aug 18, 2026, the average hourly pay for part time data science in Manitoba is $46.93, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $69.71 per hour, depending on experience, location, and employer.

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.

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 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.

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 most commonly searched types of Data Science jobs in Manitoba?

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

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

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

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

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

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

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

Infographic showing various Part Time Data Science job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $97,613 per year, or $46.9 per hour.

CA$107K - CA$157K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement

Posted 13 days ago


Job description

Permanent Full Time 

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Canada Life believes AI must be deployed responsibly, securely, and in alignment with regulatory, risk, privacy, security, and business expectations. Effective governance is critical to scaling AI safely while maintaining trust and ensuring that AI initiatives are appropriately assessed, approved, monitored, and controlled across their lifecycle.

The Manager, AI Governance is accountable for helping operationalize enterprise AI governance processes. This role partners with business, technology, risk, legal, privacy, compliance, security, and audit stakeholders to ensure AI initiatives follow governance requirements from intake through delivery and ongoing operation.

This role is focused on governance operations, lifecycle discipline, stakeholder coordination, and practical implementation of AI controls. The role may lead direct reports over time and will help establish scalable governance practices as enterprise AI adoption grows.

What you will do
  • Support the implementation and ongoing operation of enterprise AI governance frameworks, standards, and lifecycle processes.
  • Coordinate AI intake, triage, risk classification, governance review, approval, and ongoing monitoring activities.
  • Facilitate governance assessments and help solution teams identify risks, required controls, and remediation actions.
  • Partner with AI delivery, platform, architecture, privacy, security, legal, compliance, risk, and audit teams to support responsible AI deployment.
  • Maintain AI inventories, governance records, decision logs, lifecycle documentation, and evidence required for oversight.
  • Support the definition and operationalization of controls related to transparency, human oversight, data use, monitoring, model performance, security, and accountability.
  • Develop governance reporting, metrics, dashboards, and status updates for leadership and governance forums.
  • Monitor evolving regulatory, industry, and internal expectations related to AI governance and responsible AI.
  • Identify opportunities to simplify, standardize, automate, and scale governance processes.
  • Promote awareness and practical adoption of AI governance requirements across business and technology teams.
What you will bring
  • Degree in Computer Science, Engineering, Data Science, Risk Management, Business, Law, Public Policy, or a related discipline, or equivalent practical experience.
  • 5 or more years of experience in technology governance, risk management, compliance, privacy, security, data governance, model governance, or AI governance.
  • Understanding of AI lifecycle management, responsible AI principles, and technology risk management concepts.
  • Experience developing, implementing, or operating governance processes, controls, assessments, or assurance practices.
  • Ability to translate policy, regulatory, privacy, risk, and security expectations into practical operating processes.
  • Experience working with cross functional stakeholders in a large, matrixed organization.
  • Strong communication, facilitation, documentation, and organizational skills.
  • Familiarity with AI inventory management, model governance, risk tiering, monitoring, and control evidence is preferred.
  • Ability to balance governance discipline with practical delivery needs.
  • Experience in financial services or another regulated industry is an asset.

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The base salary for this position is between $107,800 - $157,800 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted

#LI-Hybrid