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Data Science Contract Jobs in Toronto, ON (NOW HIRING)

PRI Global

Data Scientist

Toronto, ON · On-site

Sr. Data Scientist Toronto, Canada 18 months contract We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science ...

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

This is a 16 month contract role Role Summary Within Sun Life, theData and Analytics COEcomprisedof ... Data Science and Machine Learning * Translate business goals into analytical problems;

Sun Life Financial

Senior Data Scientist

Toronto, ON · On-site

This is a 16 month contract role Role Summary Within Sun Life, theData and Analytics COEcomprisedof ... Data Science and Machine Learning * Translate business goals into analytical problems;

Meridian Credit Union

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

Please note - this is a 12-month contract opportunity* The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced ...

BMO Capital Markets

Data Scientist

Toronto, ON

CA$80K - CA$175K/yr

Data Analytics & Reporting This is a 12 month contract hybrid role in Toronto We are seeking an ... Technical Qualifications * 5+ years of hands-on experience in Machine Learning, AI, or Data Science.

Td

Senior Manager, Data, Reporting & Insights

Toronto, ON · On-site

CA$115K - CA$163K/yr

The role owns the strategic direction for how spend, contract, third-party management, third-party ... Predictive analytics, data science and AI orientation * Business intelligence and self-service ...

RELX

Sr Data Scientist II

Toronto, ON · On-site

Design clear interfaces and data contracts between retrieval, orchestration, model, and downstream ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

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Data Science Contract information

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Toronto, ON?

The most popular types of Data Science jobs in Toronto, ON are:

What are popular job titles related to Data Science Contract jobs in Toronto, ON?

For Data Science Contract jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Science Contract jobs in Toronto, ON look for?

The top searched job categories for Data Science Contract jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Science Contract jobs?

Cities near Toronto, ON with the most Data Science Contract job openings:

Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Scientist - 12 month contract

CorGTA

Toronto, ON

CA$70/hr

Contractor

Re-posted 7 hours ago

Job description

Role: Data Scientist
Rates: Up To $70.00 p/h INC.
Structure: 12 month contract
Location: North York, 1-2 days per month on-site
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We have a great new opportunity to support one of our clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.


Required Qualifications/Skills:
Experience: 58 years of applied industry experience in data science, statistical analysis, and
machine learning.
Education: Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related
quantitative field.
Core ML & Forecasting Mastery: Deep expertise in traditional machine learning algorithms
(regression, classification, clustering, tree-based models) and a strong specialization in
forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
Programming Mastery: Advanced, production-level programming skills in Python (Pandas,
Scikit-Learn, Statsmodels) and highly complex SQL for large-scale data manipulation.
GCP Infrastructure: Strong, hands-on proficiency in the Google Cloud Platform ecosystem.
Experience building, training, and deploying models using Vertex AI, BigQuery, and Google Cloud
Storage.
Communication & Critical Thinking: Exceptional ability to distill complex data into meaningful business insights. Effective written and verbal communication skills are mandatory for cross-
functional collaboration.
Preferred Qualifications (Nice to Have):
Advanced AI / GenAI: Knowledge or hands-on experience with Deep Learning architectures and
Generative AI (e.g., LLMs, building Retrieval-Augmented Generation (RAG) pipelines).
Retail Domain Expertise: Previous experience applying data science within the retail sector (e.g.,
supply chain forecasting, pricing optimization, customer lifetime value).
MLOps & Orchestration: Familiarity with containerizing workloads (Docker) and using
orchestration tools (like Google Cloud Composer / Apache Airflow) to schedule and trigger
complex ML training pipelines.
Agile Tools: Familiarity with tracking and documentation tools such as JIRA and Confluence.


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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job/