Data Scientist - Fixed Term Contract

Infrastructure Ontario; Toronto; On-site; CAD 87,000 - 96,000; Full time

Benefits offered by this job

Health, dental, vision and out-of‑is‑c

Professional development opportunities

Support for colleagues’ well‑being

Job summary

Infrastructure Ontario is seeking a Data Scientist for a contract role to advance data and analytics initiatives. You will deliver data-driven insights, build datasets and dashboards, and support a data literacy program across the enterprise.

The role emphasizes collaboration with business stakeholders, translating needs into analytical solutions and maintaining curated data assets for reporting and self-service analytics.

Qualifications

• A few years of experience in data analytics or data science, turning data into insights.
• Experience building datasets, reports, dashboards, and delivering insights.
• Degree in a related field; advanced degree is an asset.

Responsibilities

• Gather requirements and translate business needs into analytics solutions.
• Create datasets, dashboards, and reports for decision support.
• Develop models and forecasts using Python/SQL/R as appropriate.
• Support data literacy initiatives and stakeholder communication.

Skills

SQL

Python

R

Data visualization

Power BI

Excel

Cloud analytics

Education

Bachelor's degree in Statistics/Math/CS/ Economics/ Data Science

Master's degree (asset)

Tools

Databricks

Microsoft Fabric

Job description

Infrastructure Ontario (IO), an Ontario crown corporation, provides a wide range of services to support the Ontario government’s initiative to modernize and maximize the value of public infrastructure and realty. IO has been recognized domestically and internationally for the way it does business and the success it has had with its major projects, real estate services, infrastructure lending, commercial projects, and development mandate. IO delivers some of the most complex, ambitious commercial and land development solutions for the Province and continues to evolve and expand its capabilities to maximize its public impact and deliver on its vision of creating a connected, modern and competitive Ontario.

Infrastructure Ontario (IO) is advancing a renewed enterprise-wide data strategy focused on building strong data foundations, including data and AI governance, a centralized analytics platform, and data literacy. We are strengthening our analytics capabilities to help the organization use data to solve complex business problems, support evidence-based decision-making, and improve service delivery across the enterprise.

Position Summary

The Data Scientist is an individual contributor role reporting to the Director, Data and Analytics. This is a contract opportunity that offers a unique chance to gain hands‑on experience across analytics, data literacy, and enterprise data platform initiatives.

What You Will Do

Business Consulting & Analytics Delivery

• Support the Data & Analytics team members and business stakeholders in gathering requirements, documenting business needs, and identifying opportunities where data and analytics can support decision‑making.
• Assist in translating business questions into analytical approaches, datasets, reports, dashboards, and other data‑driven solutions.
• Support analytics initiatives through stakeholder coordination, requirements documentation, and communication of analytical findings to technical and non‑technical audiences.

Data Preparation & Visualization

• Extract, cleanse, transform, and integrate data from multiple systems to create trusted datasets for reporting, analysis, and decision support.
• Design, develop, and maintain curated datasets within IO’s data platform to support reporting, analysis, and self‑service analytics.
• Leverage the enterprise data platform to profile, validate, transform, and prepare data for reporting, analysis, and decision support activities.
• Develop and maintain dashboards and reports that provide stakeholders with timely, reliable, and actionable information.
• Partner with business stakeholders to improve data quality and ensure consistent use of enterprise data assets as required.

Data Analysis & Applied Data Science

• Analyze data to identify trends, patterns, risks, opportunities, and actionable insights. Conduct exploratory data analysis, quantitative assessments, and business‑focused modelling to support planning, prioritization, performance evaluation, and decision‑making.
• Apply statistical and analytical techniques to understand business drivers, evaluate outcomes, and support strategic and operational initiatives.
• Develop analytical tools and models using Python, SQL, or R, including forecasting, scenario analysis, prioritization frameworks, cost‑benefit analysis, and multi‑criteria decision‑support solutions where appropriate.

Support to Data Literacy Program

• Support the coordination and delivery of data literacy initiatives, including communications, stakeholder engagement, documentation, and related enablement activities.
• Maintain training materials, user guides, and knowledge resources to promote understanding and adoption of the enterprise data platform, data products, and analytical solutions.

Who You Are

Experience & Education

• A few years of experience in the field of data analytics or data science, turning data into insights and supporting data‑driven decision‑making. Relevant co‑op and internship experience may be considered.
• Experience performing data analysis, building datasets, developing reports and dashboards, and delivering insights that support business decision‑making.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, Data Science, Engineering, or a related field. A Master’s degree is considered an asset.

Technical Skills

• Experience using SQL and programming languages such as Python or R for data extraction, transformation, analysis, automation, and development of analytical datasets.
• Knowledge of data modelling, database management, data preparation, data quality techniques, and modern analytics platforms.
• Knowledge of data visualization and business intelligence reporting, including experience with Excel, Power BI, or equivalent tools.
• Experience working with cloud‑based analytics environments such as Databricks, Microsoft Fabric, or equivalent platforms is an asset.
• Familiarity with statistical modelling, predictive analytics, machine learning, and AI concepts is considered an asset.

Consulting Skills

• Strong communication skills, able to translate complex analytical concepts into clear, actionable insights for non‑technical audiences.
• Ability to work with stakeholders to gather requirements, understand business needs, and translate them into analytical and reporting solutions.
• Experience working in a public sector or with a public sector entity (asset).

What We Offer

• Commitment to creating a diverse, equitable and inclusive culture that promotes a sense of belonging and represents and reflects the needs of the communities we serve.
• A comprehensive package that covers health, dental, vision, out‑of‑country care, paramedical services, and more.
• Support for professional development opportunities for all colleagues through a broad range of learning programs that include in‑person and online training, leadership development, and support for colleagues’ well‑being. IO will also cover the costs associated with up to two membership and license fees per year for eligible colleagues if directly related to the employee’s role.
• Access to a suite of virtual healthcare options to support non‑urgent medical needs.
• A convenient, central location at 1 Dundas St West, easily accessible by public transit.

We offer a competitive salary range of $86,800 to $,96,000 (P3 level), pay will align with skills, knowledge and experience of the candidate.

This posting will close on Monday August 17, 2026 at 11:59 pm.

Interviews will occur on a rolling basis until the role is filled.

This posting is for a current active vacancy. We are actively recruiting to fill this position.

After reviewing the qualifications listed above, we want you to know that we understand you may not meet all the qualifications described, but still encourage you to apply, as you may have other relevant expertise and experience that you can bring to the role.

At Infrastructure Ontario, we strive to create a culture that encourages a diverse equitable and inclusive environment that fosters belonging. We believe that experience comes in many forms and through learning from each others’ differences and perspectives gives us strength. We are committed to enhancing our culture and encourage applications from all walks of life. Let us know if you require any accommodations for the selection process, by contacting the Talent Acquisition Team.

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience will be taken into consideration as applicable to the posted position.

At Infrastructure Ontario, we use AI in our applicant tracking system to improve the efficiency and fairness of recruitment. Your application will be reviewed by both AI and our hiring team for a thorough evaluation. Please note that final hiring decisions are made solely by our experienced hiring team.