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Part Time Data Scientist Machine Learning Jobs in Winnipeg, MB

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Part Time Data Scientist Machine Learning information

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.

What are the key skills and qualifications needed to thrive as a part time data scientist machine learning?

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

How do part time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

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

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

Infographic showing various Part Time Data Scientist Machine Learning job openings in Winnipeg, MB as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

CA$46K - CA$80K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement

Posted 5 days ago


Key responsibilities

  • Work in areas such as Pricing & Product Development, Valuation and Financial Management, Asset and Liability Management, Enterprise Risk Management, Corporate Actuarial, Internal Audit or Risk & Controls, and Marketing and Customer Insights.

  • Participate in a structured mentor program and professional development activities to enhance skills and build relationships within the actuarial team.

  • Contribute to the team by delivering accurate work with attention to detail and working both independently and as part of a team.


Job description

Temporary Full Time 

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This is a student position that is 4 or 8 months in duration.You must be a student registered in a Canadian College or University. This position is for students returning to school after their work term or requiring a placement as requirements for graduation. Applicants are required to submit both their resume and their most recent unofficial transcript as part of the application process.  

Canada Life, one of Canada's leading life insurance and financial services companies, is seekingActuarial Studentswith strong achievements in their academic studies and professional actuarial exams. This is a hybrid role located at our Winnipeg head office - the successful applicant will be required to work in person 3 days per week. 

As an Actuarial Student you are a key member of a highly respected, professional, actuarial team and will have an opportunity to work in areas such as: 

  • Pricing & Product Development 

  • Valuation and Financial Management 

  • Asset and Liability Management 

  • Enterprise Risk Management 

  • Corporate Actuarial 

  • Internal Audit or Risk & Controls 

  • Marketing and Customer Insights 

The Actuarial program offers you:  

  • A friendly, supportive work environment, one that rewards initiative and commitment. 

  • Personal growth and development through a structured mentor program. 

  • Opportunity to gain business acumen and develop interpersonal and presentation skills. 

  • Education and business support while working towards becoming a Fellow of the Canadian Institute of Actuaries. 

  • Competitive compensation, paid exam fees, paid study days to write exams, challenging work experience, and an ongoing performance review process. 

Canada Life employees also enjoy an on-site fitness centre, an on-site cafeteria and an active social committee. Our Actuarial Students participate in a variety of team building activities and professional development activities that help to strengthen skills and contribute to building strong relationships among our Actuarial staff. 

Qualifications 

  • Working towards a University degree, preferably with a major in Actuarial Science, Mathematics, Finance or Statistics. This post is for students returning to school after their work term. 

  • Strong achievements in academic studies. Please include a copy of your most-recent transcript with your application. 

  • Demonstrated commitment to the actuarial field through successful completion of professional actuarial exams, an actuarial education, or similar. 

  • Innovative problem-solver. 

  • Excellent communication, interpersonal and leadership skills. 

  • Well organized, delivering accurate work with an attention to detail, in a timely manner. 

  • Team player who is also comfortable working independently. 

  • Excel, Word, VBA, MS Access and Moody's AXIS experience is an asset. 

  • Knowledge or interest in insurance/reinsurance, market risk, and investments is an asset. 

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The base salary for this position is between $46,440 - $80,280 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.

For our student opportunities, the base salary will be dependent on the number of work terms you have completed along with other factors depending on your program.

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