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Data Science Associate Jobs in Ontario (NOW HIRING)

... Associate Director, Strategic Operations and Research, the incumbent will provide efficient and effective administration to the Computational & Data Systems Institute (CDSI), Faculty of Science in ...

New

... Associate Director, Strategic Operations and Research, the incumbent will provide efficient and effective administration to the Computational & Data Systems Institute (CDSI), Faculty of Science in ...

New

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... Databricks GenAI Engineer Associate certification. * Exposure to enterprise engagement cycles and ...

Data engineering or data science exposure is a plus. Leadership Expectations: Respect the Individual: Demonstrates and encourages respect for others; drives a positive associate and customer ...

Bachelor's Degree in Information Systems, Computer Science, Business Analytics, or related field. Preferred Certifications * CBAP * CCBA * CDMP (Associate) * Data Governance Certifications Key ...

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

The Opportunity ShyftLabs is looking for an Associate AI Engineer (New Grad) to join our growing ... Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or a related field

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or a ... Azure Data Engineer Associate). * Databricks certifications (Databricks Certified /Data Engineer ...

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or a ... Azure Data Engineer Associate). * Databricks certifications (Databricks Certified /Data Engineer ...

Data Engineer

Cambridge, ON · Hybrid

CA$64K - CA$114K/yr

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or a ... Azure Data Engineer Associate). * Databricks certifications (Databricks Certified /Data Engineer ...

Purpose Contributes to the overall success of the Data Engineering Team under GOCT Solution ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

Showing results 41-60

Data Science Associate information

See Ontario salary details

$10

$45

$98

How much do data science associate jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data science associate in Ontario is $45.59, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $61.78 per hour, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 are popular job titles related to Data Science Associate jobs in Ontario?

For Data Science Associate jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Science Associate jobs in Ontario look for?

The top searched job categories for Data Science Associate jobs in Ontario are:

What cities in Ontario are hiring for Data Science Associate jobs?

Cities in Ontario with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,837 per year, or $45.6 per hour.

Senior Data Engineer with Cloud

Scotiabank

Toronto, ON

Full-time

Retirement, PTO

Re-posted 24 days ago


Job description

Requisition ID: 257859 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Team

The Global Risk and Treasury Technology team provides development and support services for Group Treasury (including Structural Interest Rate Risk management, Asset/Liability Management, Funds Transfer Pricing, Liquidity Risk, Stress Testing) and Global Risk Management (Global Retail/Corporate/Commercial Credit Risk, Counterparty Credit Risk, Operational/Non-Operational Risk Management).

 

The Role

The Senior Data Engineer is responsible for developing and implementing technical solutions to support the Group Treasury business with a focus on Data Engineering building reusable data assets for the group and the bank. You will be required to participate in multiple projects, including technical design, use cases, and process workflow of complex business processes for internal clients. You must possess the ability to work with a team of technology focused peers and the ability to juggle multiple/concurrent tasks. You must thrive on challenge, be proactive, dynamic and demonstrate initiative and eagerness to learn.

 

Some of the key accountabilities include:

 

  • Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, SQL Server Integration Services (SSIS), and BigQuery.
  • Build and maintain data workflows across Azure Synapse Analytics, Azure Data Lake, and GCP BigQuery, integrating structured and semi-structured financial data sources.
  • Lead modernization of legacy financial data systems to cloud-native architectures on Azure and GCP.
  • Develop scalable data models and transformation logic to support finance, treasury, and regulatory reporting.
  • Implement data governance, lineage, and quality frameworks across multi-cloud environments.
  • Collaborate with finance, treasury, and risk teams to understand data requirements and translate them into technical solutions.
  • Ensure compliance with financial data standards, including auditability, traceability, and regulatory controls.
  • Mentor junior engineers and promote best practices in data engineering, DevOps, and CI/CD.

 

 

What You Will Bring to Succeed

  • Bachelor's degree in a technical field such as Computer science, Information Systems, Computer engineering, Data Science or related field required.
  • 5+ years of experience in data engineering, with hands-on experience in Microsoft Azure and GCP data tools.
  • Strong proficiency in SQL Server, T-SQL, SSIS, and Azure Data Factory.
  • Experience with BigQuery, Cloud Storage, and Dataflow or Apache Beam.
  • Solid understanding of financial data domains such as general ledger, cash management, liquidity, regulatory reporting, and risk analytics.
  • Experience working in or with financial institutions, banks, or treasury departments.
  • Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Cloud Build) and infrastructure-as-code (e.g., Terraform).
  • Excellent problem solving and analytical skills and be capable of multi-tasking and managing concurrent tasks and initiatives.
  • Ability to solve technical problems/ processes and understand complex details.
  • A high level of interpersonal and verbal communication skills necessary to relate to other people at their systems knowledge level.
  • Self motivated and curious to learn new technologies and business use cases.

Preferred Qualifications:

 

  • Experience with Databricks, Delta Lake, MLflow, and Apache Airflow.
  • Knowledge of Power BI, Looker, or other visualization tools.
  • Certifications such as Azure Data Engineer Associate or Google Professional Data Engineer.
  • Experience with financial compliance standards (e.g., SOX, Basel, IFRS).
  • Experience working in Agile/Scrum environments.

The Workplace We are technology partners who help the business transform how our employees around the world work

  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
  • We foster an environment of innovation and continuous learning
  • We care about our people, allowing them to design how they work to deliver amazing results
  • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.