Top Python Jobs in Toronto

Develop and maintain ETL processes, SQL Server databases, SSAS data models, SSRS reports, and Power BI dashboards. Build unified data models across ERP systems, improve BI performance, establish development standards, and translate cross-functional business requirements into scalable data and integration solutions. The role also supports modernization of Sofina’s data environment and strategic reporting for finance, sales, supply chain, and other stakeholders.

Owns the design, administration, security, monitoring, automation, reliability, and modernization of enterprise data platforms across SQL Server, Azure, and Microsoft Fabric. Responsibilities include high availability and disaster recovery, performance tuning, access governance, data integration, CI/CD deployments, incident response, platform standards, and cloud migration. The role collaborates with data, infrastructure, security, architecture, and application teams to maintain secure, scalable, recoverable, and cost-effective data services.

Designs, builds, and operates scalable batch and near-real-time data pipelines across Microsoft Fabric and Azure. Develops ETL/ELT solutions, data models, monitoring, governance, security, CI/CD, and data quality controls. Leads technical design, modernization of legacy workloads, production support, performance optimization, documentation, and engineering standards while partnering with analysts, architects, developers, and business stakeholders.

Performs risk-based quality assurance across enterprise applications, APIs, integrations, data platforms, Salesforce, batch processes, and vendor products. Designs and executes manual and automated tests, validates data and security controls, manages defects, supports SIT/UAT and release readiness, and communicates quality risks. Develops maintainable automation integrated with CI/CD pipelines while applying exploratory, accessibility, usability, and end-to-end business-process testing. Collaborates with technical and business stakeholders throughout the delivery lifecycle.

Tests and verifies hardware, software, embedded, cloud, networking, and medical device systems. Develops verification plans, test cases, automated protocols, test infrastructure, and compliance documentation. Performs hardware bring-up, debugging, connectivity testing, web API and application testing, defect tracking, and formal testing against medical device standards. Collaborates with hardware, software, cloud, manufacturing, security, and product teams to ensure system reliability, safety, regulatory compliance, and performance.

Gather, process, analyze, and visualize data for personal finance and business journalism. Collaborate with reporters, editors, and visual journalists on consumer-focused data stories, verify newsroom data work, build reporting tools, and promote data literacy. The role requires strong news judgment, data analysis and visualization skills, dataset management experience, and familiarity with Python or R. Additional assets include AI, APIs, database management, AWS, and business datasets.

Designs, develops, architects, and deploys complex software solutions while guiding technical direction for projects. Leads planning, estimates, timelines, budgets, risks, and dependencies; promotes engineering best practices; mentors developers; improves system reliability and performance; and provides rotational Tier 3 support for critical 24x7 platforms. Collaborates with business and technical stakeholders to define requirements and communicate solutions.

Develop AI-assisted software development and testing automation, operational AI agents, RAG workflows, evaluation systems, monitoring tools, and guardrails. Support observability, incident analysis, system integration, testing, documentation, and process improvement. The role requires Python, SQL, machine learning, MLOps, LLMOps, AgentOps, fine-tuning, and AI agent framework knowledge.

Leads marketing analytics initiatives at the intersection of business, data, and technology. Designs scalable data models, KPI frameworks, analytics engineering solutions, executive dashboards, and self-service BI capabilities using Microsoft Fabric and Power BI. Performs segmentation, forecasting, experimentation, predictive analytics, and marketing performance measurement. Partners with cross-functional and executive stakeholders to modernize analytics, strengthen governance, and deliver actionable insights.

Design, develop, and deploy scalable software applications, tools, and systems. Solve complex technical problems, optimize performance and security, experiment with emerging technologies, and champion quality through code reviews and testing. Mentor engineers, foster collaboration, and contribute to DevOps, cloud, microservices, API, containerization, and database initiatives.

Leads customer and marketing analytics, developing predictive models for propensity, churn, customer lifetime value, segmentation, forecasting, and campaign optimization. The role manages the full analytics lifecycle, including requirements gathering, modeling, deployment, monitoring, governance, reporting, and communicating insights. It partners with marketing, product, customer management, data, IT teams, and agencies to support growth, retention, and data-driven business decisions.

Leads enterprise business intelligence and advanced analytics initiatives, including dashboard development, KPI reporting, forecasting, data modeling, data marts, ETL collaboration, governance, and data quality. Partners with executives and cross-functional teams to translate business requirements into BI solutions, provides user training, supports digital transformation, and ensures privacy-compliant, audit-ready analytics. Manages BI projects, automation, predictive analytics, AI-enabled insights, testing, deployment, and continuous process improvement.

Leads enterprise-wide controls, automation, and digital transformation across manufacturing sites. Designs PLC, HMI, DCS, MES, IIoT, analytics, and AI/ML solutions; establishes automation standards; leads capital project workstreams through commissioning; integrates vendors and OT systems; supports cybersecurity, data analysis, training, and technical governance across the network.

Build and launch backend identity decisioning systems that validate consumer identity and satisfy KYC requirements. Collaborate with Product, Compliance, Auth, Fraud, and engineering teams; break projects into deliverable phases; write tested, extensible code; monitor system metrics and availability; participate in on-call support, code reviews, interviewing, and team development.

Designs, builds, operates, and improves production-grade Azure automation and platform infrastructure. Responsibilities include CI/CD and release engineering, Terraform and Helm management, GitOps deployments, on-demand environment provisioning, disaster recovery automation, Kubernetes workload optimization, policy and security scanning, observability, build-agent maintenance, Kafka operations, and replacing manual processes with reliable automation.

Lead the development, monitoring, and enhancement of personal insurance pricing and ratemaking models. Analyze portfolio performance, market trends, and competitive dynamics to recommend pricing actions. Support regulatory rate filings, manage pricing projects, collaborate with cross-functional partners, and mentor actuarial analysts. Apply traditional actuarial and advanced analytical techniques to improve profitability, growth, customer retention, and pricing effectiveness.

Leads corporate actuarial activities supporting Solvency UK capital requirements, internal model governance, risk calibrations, and Chief Actuary opinions. Reviews methods, assumptions, data quality, model weaknesses, and validation documentation. Collaborates with economic capital, pricing, reserving, reinsurance, risk, finance, and global actuarial teams. Requires property and casualty or financial services actuarial experience, 3–5 CAS exams, regulatory knowledge, strong analytical skills, and effective stakeholder communication.

Performs power system studies including power flow, dynamic stability, short-circuit, transient stability, transmission planning, and resource interconnection analysis. Reviews interconnection documentation for M&A due diligence, evaluates tariffs and market processes, supports applications across North American RTOs, collaborates on project deliverables, and develops analytical tools. The role requires knowledge of renewable energy, NERC standards, grid interconnection practices, and power system simulation software.

Conducts cross-functional analysis, reporting, and process improvement for Trade Finance Operations. Acts as a subject matter expert on trade finance systems and processes, gathers requirements, develops functional documentation and use cases, supports development teams, and leads testing. Identifies control deficiencies and operational risks, implements corrective actions, manages high-risk issues, and provides analytics-driven recommendations to management. Collaborates with business, technology, and operations teams in an Agile environment.

Designs and executes tests for quantitative valuation models used by Global Markets trading desks. Produces technical model documentation, collaborates with Model Risk Management, Valuation Product Control, and Market Risk, monitors model performance, reports metrics, and supports model risk management activities.

Designs and maintains automated testing frameworks for web, API, integration, regression, and end-to-end testing. Builds CI/CD test suites, improves automation coverage, supports defect analysis and release validation, and contributes to quality metrics and governance. The role also explores AI-assisted testing, predictive defect analysis, self-healing scripts, and intelligent test generation. Collaboration spans software engineering, product, DevOps, and globally distributed quality teams, with mentoring responsibilities for junior engineers.

Conduct research and develop algorithms for audio, speech, and acoustic AI using signal processing and deep learning. Build acoustic data pipelines, implement Python and C++ prototypes, evaluate models, and collaborate with engineering teams to productize successful research. The role may involve research publication in areas including speech recognition, audio generation, acoustic enhancement, spatial audio, and source separation.

Conduct fundamental AI and computer vision research focused on 3D content reconstruction, generation, and editing. Develop state-of-the-art algorithms, design solutions for real-world Huawei products, perform business analysis and solution design, and build rapid research prototypes. Collaborate with research scientists, engineers, and interns, publish findings at leading AI and computer vision conferences, and contribute to large-scale 3D vision and 3D AIGC initiatives.

Owns technical customer success for a genomics platform, including support-ticket resolution, production pipeline monitoring, NGS workflow troubleshooting, quality control, validation, and cloud cost estimation. The role also supports customer onboarding, sample processing, custom genomic deliverables, documentation, and feedback for product and engineering teams. Responsibilities expand into regression testing, dependency maintenance, benchmarking variant callers, and reliability improvements for clinical and research customers.

Lead data science initiatives supporting Wealthsimple’s Commercial team and AI Voice Agent program. Build reliable data models, develop and maintain machine-learning models, design experiments, conduct analyses, and create dashboards and metrics. Partner with Sales, Operations, Product, Design, Engineering, and leadership to improve sales processes and business outcomes. Mentor teammates and communicate insights to senior stakeholders.