3

Part Time Remote Data Science Jobs in Toronto, ON

This is a remote, part-time role (15-30 hours/week). Responsibilities & Scope: * Conduct investigations utilizing open data sources and in partnership with Owl's AI. * Ensure findings are inputted ...

... on a part-time basis. In this role, you will support administrative tasks for our recovery ... If you thrive in a fast-paced environment and have a knack for data integrity and clear ...

Administrative Clerk, Recovery Team

Toronto, ON ยท On-site +1

CA$20 - CA$25/hr

... on a part-time basis. In this role, you will support administrative tasks for our recovery ... If you thrive in a fast-paced environment and have a knack for data integrity and clear ...

Administrative Clerk, Recovery Team

Toronto, ON ยท On-site +1

CA$20 - CA$25/hr

... on a part-time basis. In this role, you will support administrative tasks for our recovery ... If you thrive in a fast-paced environment and have a knack for data integrity and clear ...

next page

Showing results 1-20

Part Time Remote Data Science information

How do part time remote data scientists typically collaborate with full time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

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

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.
What are the most commonly searched types of Remote Data Science jobs in Toronto, ON? The most popular types of Remote Data Science jobs in Toronto, ON are:
Infographic showing various Part Time Remote Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Claims Service Representative, Part-Time-Remote

Davies

Mississauga, ON โ€ข Remote

$22.67 - $31.49/hr

Part-time

Posted 22 days ago


Job description

Company:ClaimsPro LPClaims Service Representative, Part-Time-RemoteCompensation range: $22.67 - $31.49 hourly

Role Summary

We have an existing opportunity toadd a Claims Service Representative to join our growing team! You will work in a remote based environment anywhere in Canada.

The Claims Service Representative provides immediate and customer-focused assistance to policyholders who are calling to report insurance claims. Document initial loss details and activities to ensure that callers experience timely and service-oriented disposition of calls. Make determinations based on protocol if immediate adjuster attention is required and coordinate with vendors as required.

* In order to work remotely, you will require High Speed Internet.(Download and Upload speed must both be at a minimum of 50 mbps)
* Please note that this position requires shift work on a seven (7) day rotating basis with an 8 hour shift between the hours of 7am to 12am. Weekend shifts are mandatory.
*This is a part-time opportunity with competitive compensation at $19.50/hour.

Key Responsibilities:
Review call report and ensure call has terminated properly, then forward accurate and complete call reports as required.
Provide personalized customer service of the highest level
Arrange for the dispatch of adjusters or vendor partners when required
Field and answer branch inquiries and administer to appropriate area
Maintain data base of service lapses reference for root cause, report trends and make recommendations to management
Review claim information to determine proper next steps for processing against client guidelines/ service agreements
Qualifications and experience:
Post secondary education is required
Minimum of 1 year of customer service or administrative experience is required
Knowledge of insurance/service industry or related experience preferred
Strong computer and telephone skills with an aptitude/ability to learn
Effective communication skills both written and verbal in English
Attention to detail
Team player with a strong commitment to quality and customer service
Excellent time management and organizational skills
Sound judgmental powers; ability to manage difficult customer situations, to respond promptly to the needs of the customer, solicit feedback to improve service, respond to requests for service/assistance
Ability to adapt to change, meet the changing demands of the work environment, any delays or other unexpected demands.

We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates throughout the recruitment and assessment process

Unsolicited Outreach Statement - Recruitment Agencies

We will not accept unsolicited resume submittals from third- party recruiters and hereby request agencies to not contact our employees or managers directly to present candidates. Be advised that we will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume and will consider any unsolicited resumes forwarded public information.We welcome resumes submitted directly from candidates.

#ClaimsPro