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Salary
$70k – $88k per year
Location
In office (Canada)

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
After over 100 years in service and having carried more than 31 billion customers, the TTC has grown to become one of the most visible and vital public service organizations in North America. We continue to make Toronto proud by centering our ridership in all of our decision making.

JOB INFORMATION

Requisition ID: 13878

Number of Vacancies: 1

Department: Information Technology Services - Enterprise Architecture

Salary Information (hourly rate): $50.06 - $62.58

Pay Scale Group: 08SA

Employment Type: Temporary - Hybrid

Vacancy: New

Weekly Hours: 35Off Days: Saturday - Sunday Shift: Day

Posted On: October 15, 2026

Last Day to Apply: October 20, 2026

Reports to: Manager, Business Intelligence and Analytics

The Toronto Transit Commission (TTC), North America's third largest transit system and recognized as one of the top places to work in the GTA has introduced its new 2024-2028 TTC Corporate Plan - Moving Toronto, Connecting Communities which continues the TTC’s legacy of delivering service to hundreds of millions of customers a year. The TTC’s new vision and mission statements also help promote the many environmental, social equity and economic benefits that the TTC provides:

Vision: Moving Toronto towards a more equitable, sustainable, and prosperous future.

Mission: To serve the needs of transit riders by providing a safe, reliable, efficient, and accessible mass public transit service through a seamless integrated network to create access to opportunity for everyone.

The full Plan can be viewed on ttc.ca.

Career Opportunity

Are you passionate about turning data into insights that drive better decisions? We are looking for an analytical and curious professional to join our team as an Associate, Data Scientist.

What You Will Do

As an Associate, Data Scientist you will support the development of Data Science predictive analytics, machine learning, and visualization solutions that improve business performance, customer outcomes, and operational effectiveness.

You will be working closely with business and technology partners, and help transform complex data into actionable insights while contributing to innovative solutions that support service delivery, planning, forecasting, and operational excellence. Specifically you will:

  • analyze structured and unstructured data to identify trends, patterns, risks, and opportunities for improvement.
  • perform exploratory data analysis and develop descriptive, diagnostic, predictive, and prescriptive analytics to support business decision-making.
  • build and support analytical models using statistical, machine learning, forecasting, and optimization techniques.
  • create dashboards, visualizations, and reports that communicate complex findings in a clear and actionable manner. [
  • collaborate with business stakeholders, subject matter experts, and technology teams to define requirements and develop data-driven solutions.
  • develop reusable code, data pipelines, and proof-of-concept solutions that support operational and strategic objectives.
  • support model validation, testing, implementation, and ongoing performance monitoring.
  • ensure compliance with data governance, privacy, cybersecurity, accessibility, and responsible AI standards.
  • contribute to continuous improvement by researching emerging analytics tools, methodologies, and industry best practices.

What Qualifications Do You Bring?

  • A University degree or college diploma in Data Science, Computer Science, Applied Mathematics, Operations Research, Engineering, Transportation Planning, or a related discipline, or an equivalent combination of education and experience.
  • Knowledge of Data Science, statistics, machine learning, data visualization, and analytical problem-solving techniques.
  • Experience using Python, R, SQL, or similar analytical tools to collect, prepare, analyze, and visualize data.
  • Familiarity with relational databases, Data Science libraries, notebooks, source control, and model validation practices.
  • Strong analytical and critical thinking skills with the ability to translate business questions into data-driven solutions.
  • Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
  • Strong organizational skills with the ability to manage competing priorities and deliver high-quality work within established timelines.
  • Knowledge of data governance, privacy, cybersecurity, ethical data use, and responsible artificial intelligence principles.
  • Effective interpersonal, written, and verbal communication skills, with a collaborative and customer-focused approach.

Commitment to EDI

The TTC is committed to upholding the values of equity, diversity, anti-racism and inclusion in the delivery of its services and in its workplaces. The TTC is committed to fostering a diverse workforce that is representative of the communities it serves at all levels of the organization and supports an inclusive environment where diverse employee and community perspectives and experiences bring value to the organization. The TTC encourages applications from all applicants, including members of groups with historical and/or current barriers to equity, including but not limited to, Indigenous, Black and racialized groups, people with disabilities, women and people from the LGBTQIA+ community. The TTC values and supports an inclusive and barrier-free recruitment and selection process. Accommodations for applicants are available upon request throughout the recruitment and selection process, including for those who identify as having a disability. Please contact Talent Management at (416) 393-4570 or [email protected] . Any information received related to an accommodation will be addressed confidentially.

General Prohibition in Hiring Process

The TTC is also committed to a fair hiring process based on job related qualifications, merit, and abilities. You are expected to write your own materials and provide your own qualifications and experiences during the hiring process. The TTC will not tolerate the use of artificial intelligence or external resources in any of your submissions or responses, or the disclosure of interview questions to others. By submitting your application, you acknowledge and agree to the following:

  • The use of any artificial intelligence (AI) tool including, but not limited to, ChatGPT and Microsoft Copilot, to generate or produce any information or materials to be submitted or any response to any assessment question or any interview question, is prohibited.
  • All information and materials you submit, including resume, cover letter, and assessment responses, are your own original work without the use of any AI tool
  • During any interview, your response to any interview question is your own without the use or assistance of any AI tool or any person.
  • You will not disseminate or disclose to any person any interview question.

Should you breach the prohibition of AI tool use, or information dissemination or disclosure, you will be in violation of TTC’s hiring process and TTC may withdraw your application and may prohibit you from participation in the TTC hiring process.

Relatives of TTC Employees

The TTC’s policy prohibits relatives of current TTC employees from being hired, assigned, transferred or promoted into positions, where there is a conflict of interest due to a relationship. Should you be selected for an interview, you will be required to disclose the name, relationship and position of any relative who is a current TTC employee.

We thank all applicants for their interest but advise only those selected for an interview will be contacted.

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