Top Python Jobs in Toronto

Analyze market trends, support business strategy development, build financial models, and collaborate with teams on product pricing strategies.

The Analytics Engineer transforms data into insights for KUBRA's clients. Responsibilities include designing dashboards, conducting data analysis, and collaborating with teams to align metrics with business goals.

The Cloud Platform Engineer will automate AWS infrastructure deployment, maintain CI/CD pipelines, enhance observability tools, and support developer operations.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

Lead the Continuous Integration (CI) and Build Infrastructure team, optimizing development pipelines, systems design, and team collaboration for software quality and reliability.

The Senior Data Analyst will analyze e-commerce operations and pricing strategies, build reporting infrastructure, and collaborate with teams to drive data-informed decisions for revenue growth.

As a Senior Data Engineer for Customer Operations, you will develop and maintain data models, pipelines, and visualizations to support decision-making within cross-functional teams and improve customer support experiences.

Drive the evolution of scalable data systems at GitLab, architecting solutions that enhance data management for enterprise-scale growth.

Design and implement security products for Workday's AI organization, integrate security in the SDLC, and manage vulnerability lifecycle.

The Data and ML Engineer will work on building AI products, developing data and ML solutions, maintaining data pipelines, and collaborating with cross-functional teams to deliver impactful data-driven solutions.

Lead a team in analytics for media performance, develop strategies, integrate data disciplines, and mentor staff, delivering insights to clients.

As an Agentic Data Specialist, design and manage data systems for AI agents, ensuring seamless integration and collaboration across enterprise technologies.

As a Full Stack Developer, you'll architect and develop a new forecast platform, focus on data engineering, and optimize energy usage through software development.

The Data Analyst will analyze energy market data to forecast peak demand, improve forecasting models, and collaborate with cross-functional teams to optimize battery energy storage operations.

As a Senior Full Stack Data Governance Engineer, you will build data governance solutions using Azure and Databricks, ensuring data quality and secure APIs.

Lead audit and advisory projects, develop risk-based audit strategies, and mentor junior staff. Collaborate with senior management to enhance governance and risk management.

The Data Engineer will develop and maintain Azure data pipelines, collaborate with teams to enhance data utility, and implement Azure best practices while supporting business analytics and compliance.

Manage audit assignments across segments, assess risks, collaborate with leadership, coach junior staff, and utilize analytics and technology for effective audits.

Lead the development of scalable AI solutions using Azure services and Python. Manage projects, optimize systems, and ensure code quality while collaborating with teams in a cloud-native environment.

Responsible for designing and optimizing evaluation frameworks for AI systems, collaborating with teams to ensure reliable and scalable solutions for banking applications.

The Associate ML Engineer will support analytics solutions within teams, manage data science tasks, develop ML functionalities, and collaborate with senior members on coding and data management.

Lead a team focusing on media performance analytics, client development, and the integration of analytics to enhance business outcomes across all media channels.

The role involves preparing financial reports, ensuring compliance with regulations, participating in financial transformation projects, and supporting automation and process improvements.

The Sr. Data Analyst will support Client Investment Risk through reporting, risk monitoring, data integration, and dashboard development, ensuring effective risk governance.