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

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Senior Data Scientist

Toronto, ON · Remote

This is a hands-on, engineering-heavy data-science role: you build and ship your own models. Where ... contracts, deployment and rollout. * Move fast with AI-assisted development -we use it to ...

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Senior Data Engineer

Toronto, ON · Remote

Partner across data science, backend and product on the producer to consumer contract (models produced by data science, consumed/aggregated downstream, surfaced to clients). What You'll Work On You ...

Scotiabank

Data Scientist - AI/ML

Toronto, ON

... forms or contracts. * Practical experience with ML/AI techniques, including supervised ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

BMO Capital Markets

Senior Data Scientist

Toronto, ON · On-site

CA$103K - CA$192K/yr

Data Analytics & Reporting This is a 12 month contract hybrid role in Toronto We are seeking a Senior Data Scientist to join our team on a 12-month contract to support key machine learning initiative.

DIALOG

Senior Specifications Writer

Toronto, ON

CA$90K - CA$124K/yr

Maintain currency of specification writing skills, aspects of building science, contract law and ... We look at annual market data to understand how different roles are compensated in our industry ...

Xplore Inc.

Principal Data Engineer

Markham, ON · On-site

... data contracts with domain owners. * Define data quality SLAs/SLOs and automated validation at ... Partner with analytics, data science, and AI/ML teams to provision clean, well-documented datasets ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Contract Compensation: $55-$80/hour Location: Remote Role Responsibilities * Contribute subject ... PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research ...

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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:
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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 July 2026, with employment types broken down into 62% Full Time, 20% Part Time, 1% Temporary, and 17% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Data Scientist, ONCAP/OpCo - 12 month contract

ONCAP

Toronto, ON • On-site

CA$45 - CA$60/hr

Other

Re-posted 18 days ago

Job description

The Opportunity:

ONCAP is seeking a Data Scientist to support the AI, Analytics, and Data function within one of its portfolio companies. The selected candidate will be assigned to a specific operating company based on business needs. They will contribute to a variety of projects that drive value creation within the operating company and across ONCAP.

The hire will report directly to the Head of AI, Analytics and Data at ONCAP, as well as to operating leaders at the assigned operating company. This position is for a current vacancy.

What You Will Do:

The successful candidate will play a key role in accelerating data-driven evolution within the portfolio company by using advanced analytics to drive business value, and work with alternative datasets to curate novel insights. Key projects will include:

  • Customer Data & Insights
    • Segment customer data to drive targeted marketing and personalization strategies.
    • Develop and maintain weekly, periodic, and quarterly reports using Power BI or similar tools.
    • Collaborate with business teams to leverage data in alignment with growth priorities.
    • Explore AI-driven personalization opportunities to optimize customer engagement.
  • Operations Analytics & Optimization
    • Conduct in-depth operational analyses to identify performance drivers, uncover improvement opportunities, and address key business challenges.
    • Develop insights to optimize revenue and working capital performance.
  • Business Strategy & Growth Analytics
    • Analyze data to determine cost-effective strategies for delivering products or services.
    • Provide insights into customer behavior to enhance sustainable growth.
  • Technology & IT Efficiency Assessment
    • Assess current data and technology platforms to identify opportunities for greater efficiency and effectiveness.
  • Targeting
    • Leverage AI and data-driven targeting techniques to identify, evaluate, and prioritize high-potential acquisition targets aligned with the fund's investment thesis.

What You Will Bring:

Professional Characteristics:

  • 1-3 years relevant experience in data science and analytics.
  • Expert proficiency in BI tools, programming and querying languages including Power BI (or Tableau), Python, SQL, strongly typed and/or functional languages a plus.
  • A strong intuition for analytical methodologies and desire to solve novel technical challenges.
  • Exceptional attention to detail, ensuring accuracy, consistency, and reliability across all analyses and deliverables. 
  • Familiarity with data analysis and fundamental ML modeling techniques.
  • Ability to communicate technical concepts to non-technical audiences effectively both orally and in writing.
  • Be passionate about the application of data science to drive business impact, and intellectually curious about solving real-world questions from data.
  • Strong proficiency in English, ensuring clarity in both technical and business communication.

Personal Characteristics:

  • Judgment and Flexibility: Thinks about issues and develops solutions that thoughtfully take the broader context into account. Positively deals with a shifting demand for time, priorities, and the rapid change of your environment.
  • Ownership and Initiative: Takes ownership for and "rolls up sleeves" to meet objectives.
  • Excellence: Demonstrates accuracy and thoroughness. Ensures quality and demonstrate a strong attention to detail and follow-through. Commits to implementing best practices and continuous improvement.
  • Teamwork: Cooperates with management, colleagues, and third-parties and operates with humility. Seeks and is open to give and receive suggestions to develop better solutions and to make the team stronger.
  • Communications: Demonstrates strong written skills and presents analysis, suggestions, and other information clearly and concisely; presence and self-confidence to interface with the key constituents of the firm including management teams of companies, deal professionals, service providers and others.
  • Great relationship management skills - networking, influencing, collaborating - and a proven ability to build trust with clients and other organizational partners.
  • Ability to drive a process forward through completion, and to effectively prioritize competing objectives and urgent deadlines.
  • A pattern of excellence, both personally and professionally, demonstrated by the individual's education, career track record, intellect, and professional reputation; self-awareness, maturity, irreproachable integrity.
COMPENSATION: 

The expected wage rate for this position is C$45-C$60/hour. All-in compensation may vary based on several factors, such as relative experience, education level attained, certification(s), geographical location, etc. to account for local market conditions.

This position is for a current vacancy.

Please note, in accordance with applicable Ontario employment and privacy laws, artificial intelligence (AI)-enabled tools may be used in the hiring process to screen, assess, or otherwise select applicants; however, these tools will not be relied upon exclusively when making any hiring decision.

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