Top Python Jobs in Toronto

Design and deliver statistical and causal models, experimental test designs, and predictive analytics to optimize loyalty, customer engagement, and marketing program performance. Collaborate cross-functionally to generate insights, validate results, and contribute to advanced analytics strategy.

Lead the development of Python services and Generative AI solutions, while mentoring engineers and managing client engagements from discovery to delivery.

As a Senior Engineering Manager in Data Engineering, you'll lead a team to build a Data Platform, improve engineering practices, and ensure project delivery through effective collaboration and system architecture design.

Lead the design and engineering of major deliverables in a cloud-based platform for commercial real estate analytics, emphasizing high-quality code and scalable systems.

As Principal of Strategy & Operations at Neo, you will drive growth and profitability, manage P&L, lead cross-functional teams, and mentor junior associates while ensuring operational excellence.

Lead architecture, design, and delivery of large-scale, high-availability systems across cloud and mobile. Advance AI enablement and agentic workflows, own full components end-to-end, debug stack-wide issues, mentor engineers, and drive cross-team technical strategy and best practices.

Build and maintain end-to-end ELT pipelines, design scalable data models, create APIs for data/ML serving, and collaborate with engineering, data, and business teams to deliver core data infrastructure.

Responsible for systems analysis, programming, and managing application development projects. It involves data processing management and consulting with users. Must ensure compliance with regulations while supporting business units and mentoring junior staff.

Partner with Product, Business, Data, and Engineering to scope and deliver end-to-end data science projects: analyze member behavior, evaluate experiments, build predictive models and recommendation systems, implement and measure solutions, and produce reusable features, datasets, monitoring, and stakeholder-facing insights.

The Senior Cloud Database Engineer at Marqeta will automate AWS Aurora instances, ensure high availability, and mentor junior engineers while collaborating on database solutions.

The Senior Pyspark Data Engineer will manage large-scale data processing systems, conduct feasibility studies, provide user support, and develop security measures while acting as a subject matter expert in applications development.

Lead applications systems analysis and programming activities, partnering with management to implement system enhancements and ensure compliance with industry standards. Provide expertise in applications programming and serve as an advisor to mid-level developers, while managing high-impact projects and delivering innovative solutions.

The Python Lead Engineer will lead applications systems analysis and programming activities, partner with management, resolve high impact problems, and provide expertise in applications programming.

As a Principal Software Engineer, you will design distributed systems, enhance product automation, and develop software solutions within a collaborative global team to address complex business challenges in finance.

Lead design and implementation of scalable Hadoop/Spark big data platforms and pipelines, optimize cluster performance, enforce data security/governance, mentor engineers, and integrate cloud-native services for analytics and near-real-time ingestion.

Design, develop, test, and maintain software applications while ensuring compliance with coding standards, leading design decisions, and mentoring junior developers.

The Intermediate Data Engineer designs and builds scalable data solutions, manages data ingestion and pipelines, and supports BI initiatives. Responsibilities include collaborating with stakeholders, ensuring data integrity, and mentoring team members while adhering to best practices in data engineering.

The role involves leading application systems analysis and programming, managing a team, and working closely with data engineers to deliver high-quality products on the Data Technology team.

The role involves developing verification infrastructure, executing test plans, ensuring code coverage, and collaborating with design teams for post-silicon verification.

The analyst will support application governance, automate processes, ensure compliance, and develop solutions in a hybrid role focusing on application management and automation engineering.

Embed within the M&A team to identify, prioritize, prototype, and deploy AI and data-science solutions that speed deal sourcing, diligence, pricing, and integration. Architect the data foundation, translate between business and technical teams, build ROI-backed use cases, ship prototypes into production, drive adoption, and measure model performance, time saved, decision quality, and dollar impact across the transaction lifecycle.

This role involves full-stack development, focusing on web products, architecture, and integrating AI. You'll work on product features and scalability in a collaborative environment.

Join Citi's Prime Analytics team as a Python Developer, collaborating with market quants to enhance analytics offerings using Python and related technologies, ensuring integration and compliance while delivering innovative solutions.

Implement and manage DevSecOps practices in SDLC, focusing on security integration, CI/CD pipeline hardening, cloud infrastructure security, and compliance documentation.

The Senior Programmer Analyst leads application system development, ensuring quality coding and testing. They address complex data integration issues and mentor teams on ETL processes and compliance, focusing on operational excellence and continuous improvement.