ZS

Toronto
15,000 Total Employees
Year Founded: 1983

ZS Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week

Global Office Locations

Toronto

Since the Toronto office opened in 2002, ZS Canada has been partnering with local companies to help them face critical challenges and embrace opportunities through our deep expertise.

Recently posted jobs

5 Days AgoSaved
Hybrid
Toronto, ON, CAN
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Develop advanced statistical models and custom analyses to address client business challenges. Use R, Tableau, SAS, Visual Basic, Excel, and other analytic tools to guide decisions, create deliverables, and implement solutions. Communicate findings through presentations, manage client relationships, provide project updates, and mentor Associates while contributing to consulting engagements.
5 Days AgoSaved
Hybrid
Toronto, ON, CAN
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Conduct market and desk research, develop analyses using Excel, Access, Confirmit, and proprietary tools, and translate findings into client recommendations. Associates solve business problems, synthesize results, communicate insights, collaborate with client teams, and support solution implementation across multiple projects. The role requires strong quantitative and analytical skills, communication, organization, teamwork, adaptability, and a client-first mindset.
15 Days AgoSaved
Hybrid
Toronto, ON, CAN
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Design, build, and maintain scalable data pipelines and storage (data lakes/warehouses). Integrate diverse sources, enforce data quality, security and compliance, optimize ETL/ELT, monitor pipelines, and mentor junior engineers while collaborating with data scientists, analysts, and stakeholders.