Top Python Jobs in Toronto

The Data Analyst role involves analyzing diverse datasets, building ETL processes, visualizing data insights, and communicating results to stakeholders, requiring 3+ years experience and strong analytical skills.

Seeking a Senior Data Engineer to develop and maintain data pipelines, collaborating with data science teams to deliver accurate data for business insights.

As a Consultant in Business Systems Analysis, you will lead projects to design solutions, document requirements, provide mentorship, and ensure client-centric solutions in a collaborative environment.

The Technical Support Engineer resolves client issues primarily via email and phone, ensures customer satisfaction, and develops training documentation. On-call support during nights and weekends is required.

The Mobile QA Engineer will ensure product quality by performing tests, automating processes, and collaborating in an Agile environment, while advocating for quality throughout development.

Develop and manage full stack big data applications, provide technical leadership, and collaborate with cross-functional teams to ensure integrated system processes.

The role involves leading backend system development, collaborating with teams, identifying issues, and fostering team culture while delivering high-quality projects.

The Data Scientist will develop machine learning models, analyze large datasets, support workflows, and communicate insights to stakeholders.

As a Data Engineer, you will focus on deploying and managing ML models, developing ETL pipelines, ensuring data quality, and automating processes in collaboration with data scientists.

The Data Scientist will support retail analytics, build statistical models, and collaborate on insights to optimize marketing programs and customer engagement.

Lead the AI strategy at Manulife Canada, overseeing the development and deployment of AI/ML models to enhance business outcomes, while managing a high-performing team of data scientists and engineers.

The Data Scientist will develop analytical frameworks, perform statistical modeling and insights generation to optimize customer engagement and loyalty programs.

The Software Developer will enhance and maintain software solutions, ensure system reliability and security within a Dev/Sec/Ops framework, participate in coding, and leverage AI for automation.

The Associate Quantitative Portfolio Manager assists in managing systematic equity strategies, conducts alpha research, and contributes to portfolio construction while utilizing quantitative analysis and programming skills.

Lead a team in building B2B SaaS solutions, mentor developers, manage projects, and ensure technical excellence in software development.

Lead Applied Scientists at Thomson Reuters Labs focus on innovating AI solutions using Generative AI, NLP, and information retrieval to enhance products, ensuring alignment with business objectives while mentoring and collaborating across functions.

The role involves developing infrastructure for benchmarking AI inference performance, analyzing system behavior, designing telemetry systems, and collaborating with teams to improve feature performance.

The ETL Developer will design, develop, and deploy advanced ETL solutions, focusing on automation, scalability, and collaboration to enhance business value.

As a Data Scientist, you'll develop machine learning models, analyze data, build prototypes, and work on integrating models into production. Collaboration with engineering teams and effective communication of insights to stakeholders are key responsibilities.

As a Data Engineer, you will manage ML models in production, develop ETL pipelines, collaborate with data scientists, and ensure robust data stability.

The Senior Azure Cloud Engineer will design, implement, and secure cloud services in Azure, develop automation patterns and CI/CD pipelines, and ensure compliance with security standards. The role involves collaboration with various stakeholders to facilitate cloud technology adoption and innovation.

The Lead Data Scientist will develop marketing mix models, automate data workflows, and communicate insights to enhance marketing effectiveness for clients.

As a Machine Learning Engineer, you will optimize deep learning models, develop LLM training pipelines, implement model compression, and collaborate with research to enhance AI capabilities.

Lead the development of scalable distributed systems. Design software, mentor team members, and drive technical decisions. Collaborate across teams to create innovative solutions.

As a Data Scientist II, you will develop and deploy analytical models, perform data wrangling, and use machine learning to solve business problems.