Top Data Science Jobs in Toronto

Lead and mentor the research team to deliver strategic insights, influence product roadmaps, and ensure research quality across platforms.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

Lead the strategy of League's Data & AI platform, manage product teams, drive AI innovations, and enhance personalized user experiences in healthcare.

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

The Senior Data Science Engineer develops tools for AI, enhances analytics solutions, and educates others on data best practices, collaborating with teams for improved data utilization.

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

Lead and mentor the Regulatory Analytics and Data Science teams, collaborate with cross-functional partners, and develop tools for data-driven decision making.

As a Senior Data Scientist at GPTZero, you'll analyze user behavior, build scalable data pipelines, and collaborate across teams to drive data-informed decisions for AI content integrity.

Lead a technical team to implement Generative AI solutions for telematics, design models, and ensure alignment with business goals. Mentor team members and manage projects effectively.

As a Data Science Intern, you will develop data analytics solutions to solve business problems, work with large data sets, and collaborate across teams to create advanced analytic solutions.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

As a Data Science Intern, you will analyze data, build predictive models, assist in experimentation, and collaborate with cross-functional teams to drive data insights.

Lead the Data Science and Analytics team to optimize vehicle supply, enhance rider experience, and improve operational efficiency through machine learning and data analysis. Oversee A/B testing and promote a data-driven culture while mentoring team members.

The Manager, Data Science will lead a team to develop AI and machine learning models, support product features, and drive data applications across the organization.

Lead and mentor a team of data scientists to drive analytics for Core Product, shaping strategies and designing experiments to measure product impact.

Manage a 6-person Data Science team focused on ensuring safety on the platform, while improving processes and stakeholder management. Collaborate with cross-functional teams and provide strategic insights for safety initiatives.

Lead and mentor teams in data science and analytics to deliver financial metrics and optimize risk management, collaborating across departments.

The Associate Data Science Actuary analyzes mortality data for longevity markets, develops predictive models, and collaborates with various teams to enhance data-driven solutions.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Senior Data Science Engineer will design and deploy scalable machine learning models for the hospitality industry, collaborating closely with Product and Engineering teams to turn complex algorithms into effective solutions.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.