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Part Time Data Science Jobs in Ontario (NOW HIRING)

Wawanesa Insurance

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

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.

Wawanesa Insurance

Catastrophe Risk Specialist

Ottawa, ON · Hybrid

CA$85K - CA$115K/yr

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.

Wawanesa Insurance

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

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.

University of Toronto

Program Advisor

Toronto, ON · On-site

The Faculty of Arts & Science is the heart of Canada's leading university and one of the most ... Updating and maintaining application information data * Collecting and passing on submissions for ...

Talencore

CA$40K - CA$50K/yr

... data, and escalate issues quickly while collaborating with the laboratory team. This position ... Employment Type: Part-time, with the opportunity to progress to full-time based on individual ...

Health Sciences North

Clerk Typist

Sudbury, ON · On-site

CA$28.80 - CA$30.28/hr

Proficiency in data entry and familiarity with computerized Patient Information Systems ... Health Sciences North is committed to providing accommodations to applicants with disabilities to ...

Health Sciences North

Clerk Typist

Sudbury, ON · On-site

CA$28.80 - CA$30.28/hr

... Work Type Part-time Affiliation CUPE Clerical Shift Assignment Days, evenings, and nights ... Proficiency in data entry and familiarity with computerized Patient Information Systems.

IQVIA

... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

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All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Ontario

Part Time Data Science information

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.
More about Part Time Data Science jobs

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

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

Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Part-Time Lecturer - Analytics (Toronto)

NorthEastern

Toronto, ON

CA$2.0K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

About the Opportunity

About Northeastern:

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations-inBoston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlingtonand the Massachusetts communities of Burlington and Nahant-are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern's comprehensive array of undergraduate and graduate programs- in a variety of on-campus and onlineformats-lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than195multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

The College of Professional Studiesis one of nine colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

About the Opportunity:

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Analytics, located on-ground in Toronto.

Responsibilities:

The Master of Professional Studies in Analytics is looking for a part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry.

Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry- and mid-level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.

Qualifications:

Minimum qualification: Masters in an aligned discipline and analytics-industry experience.

Preference for candidates with a PhD in a sciences field, or similar.

Demonstration of teaching at the graduate level (on-ground) is strongly preferred.

Supervision:

This position will report to the Associate Dean of Graduate Programs.

Applicant must be legally entitled to work in Canada for the duration of the appointment without employer sponsorship.Application Materials:Applicants should submit materials including a letter of interest, vitae, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students. Please direct questions to Chris Bolick (c.bolick@northeastern.edu). Applications will be reviewed until the position is filled.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $2,049.43 CAD

Apply