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Part Time Data Scientist Machine Learning Jobs in Winnipeg, MB

Kognitive Sales Solutions

Be Seen First

Field Sales Representative

Winnipeg, MB · On-site

CA$16/hr (+ commission)

Safeguard customer data and maintain strict confidentiality in every interaction * Travel to and ... Permanent full-time or part-time positions so we can build careers, not just jobs * Uncapped ...

Wawanesa Insurance

Solution Analyst II

Winnipeg, MB · Hybrid

CA$80K - CA$100K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... The successful candidate will demonstrate sound judgment, learning agility, attention to detail ...

Wawanesa Insurance

Senior Innovation Consultant

Winnipeg, MB · Hybrid

CA$110K - CA$130K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Practice continuous learning and professional development, staying up to date on novel innovation ...

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All JobsData Scientist Machine Learning JobsPart Time Data Scientist Machine Learning JobsPart Time Data Scientist Machine Learning Jobs in Winnipeg, MB

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.

Part Time Data Scientist Machine Learning jobs near you
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.

In-Store Credit Sales Representative

Kognitive Sales Solutions

Selkirk, MB • On-site

Full-time, Part-time

Re-posted 8 days ago

Job description

Kognitive Sales Solutions is growing its in-store sales team and we are looking for driven, personable individuals who thrive in a retail environment. In this role you will work inside a major Canadian retailer, meeting customers where they shop and helping them discover a financial product from one of Canada's trusted brands. If you love sales, enjoy face-to-face conversations, and want a role where your results directly drive your income, this is for you. 

Your Responsibilities 

  • Proactively approach customers in-store and walk them through the features and value of our client's credit card products 
  • Ask the right questions to understand each customer's situation and make a relevant, helpful recommendation 
  • Serve as the product authority inside the store, knowledgeable, approachable, and credible 
  • Consistently meet and surpass personal sales targets while championing the client brand 
  • Create positive, memorable interactions that leave customers feeling well-served 
  • Adapt your engagement style to connect with a wide variety of customers throughout the day 
  • Develop reliable, productive partnerships with retail store staff 
  • Safeguard customer data and maintain strict confidentiality in every interaction 
  • Travel to and support multiple store locations across your assigned territory as needed 

What We Offer 

  • A flexible work schedule with hours available Monday to Sunday, 9am to 9pm 
  • Permanent full-time or part-time positions so we can build careers, not just jobs 
  • Uncapped commission on top of a competitive hourly base so the harder you work, the more you earn 
  • Fully paid, structured training from day one plus ongoing coaching and skill development 
  • A clear path to advancement within one of Canada's leading sales and marketing agencies 
  • The opportunity to represent a household-name Canadian brand with a loyal customer base 

Who Thrives in This Role 

  • Someone who is outgoing, confident, and genuinely enjoys meeting people and starting conversations 
  • Goal-oriented individuals who see targets as a challenge rather than a burden 
  • Clear and compelling communicators who listen actively and adjust their message on the fly 
  • People who take confidentiality seriously and hold themselves to a high ethical standard 
  • Candidates open to completing a criminal and credit background check 
  • Those with a hunger to keep learning through coaching, feedback, and hands-on experience 
  • Prior experience in customer service or sales is a bonus; drive and attitude matter more 
  • A vehicle or driver's license is an asset but not a barrier to applying 

Compensation 

  • Base wage 16$ plus uncapped commission 
  • Permanent full-time or part-time positions available 
  • Flexible schedule Monday through Sunday, 9am to 9pm 

We thank all applicants for their interest; only those selected for an interview will be contacted. Kognitive Sales Solutions is an equal opportunity employer. If you require any accommodation, please let us know. Our hiring process may include AI screening for keywords and minimum qualifications. Recruiters review all results and make all hiring decisions.