Top Data Science Jobs in Toronto

Senior Sales Engineer supporting pre-sales for Mastercard Identity in North America. Act as product expert to qualify prospects, design technical solutions, run proofs of value, provide training, create documentation, present at events, and relay customer feedback to Product. Leverage data science and machine learning knowledge, API/web architecture expertise, Python and SQL skills, and strong communication to drive sales and ensure smooth onboarding.

The Senior Technical Product Manager will lead product vision for the ML team, collaborating with various teams to enhance user experiences through ML tools and data solutions, tracking KPIs and project lifecycles.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

The Head of Scaled Sales will build sales-assisted growth strategies, optimize customer engagement, leverage data analytics, and deploy AI in sales processes.

Own vision, strategy, and roadmap for cost-optimization and energy-management products for fleets. Translate telematics and operational data into customer-facing features, run discovery, prototype MVPs, define success metrics, and ship end-to-end with cross-functional teams.

The Global Economic Intelligence Director oversees product management for economic intelligence solutions, develops go-to-market strategies, manages cross-functional teams, and drives innovation aligned with market needs and client solutions.

Lead a data science team to build scalable data pipelines, ML models, and tooling on AWS; operationalize and analyze large structured and unstructured datasets; collaborate across teams to source data and optimize business programs; hire and develop talent while evaluating new technologies for digital banking.

Lead the development of AI and machine learning solutions at Mastercard, defining strategy and mentoring teams while ensuring compliance and enhancing consumer experiences.

The Senior IT Business Analyst will collaborate with various teams for project scoping, manage documentation, participate in agile processes, and communicate project progress. Key responsibilities include defining requirements for AI product development and facilitating agile ceremonies.

Leads requirements and backlog management for AI and LLM products, coordinates deployments across environments, facilitates release readiness and go/no-go decisions, supports production verification and incident triage, and drives agile ceremonies. Serves as the liaison among AI Engineering, DevOps, QA, Product, architects, and stakeholders while translating complex technical and security requirements into actionable plans.

Leads TD Procurement’s data, reporting, analytics and insights function, including strategy, governance, executive reporting, data storytelling, predictive analytics, AI-enabled insights and self-service capabilities. Oversees interconnected procurement, risk, financial and operational data, defines analytical requirements, partners with technology teams, identifies trends and opportunities, and leads complex initiatives. Manages and develops a team of analytics professionals while advising senior leadership and advancing data-driven transformation.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

Senior Product Designer on Enterprise Experience Design team creating end-to-end enterprise/B2B tools for content planning, production, launch, and promotion. Lead user research, prototyping, visual and interaction design, usability testing, and cross-functional collaboration with PMs, engineers, data scientists, and stakeholders. Drive product strategy, design systems, and scalable solutions for global users while working PST hours and traveling quarterly to company offices.

Design and develop data products for Commercial Insurance by converting business needs into user stories and technical specs. Evaluate data sources, support Agile development, scope projects, plan and review tests, ensure data documentation, governance, and integrity, and share analytics best practices with stakeholders.

Consultant supporting capital markets post-trade transformation: evaluate trade lifecycle and operating models, liaise with technology and AI teams, conduct stakeholder interviews, lead assessment workstreams, coach junior staff, and contribute to business development and client deliverables.

Lead post-trade operations assessments and transformation for broker-dealers by evaluating trade lifecycle flows, designing target operating models, liaising with technology teams to implement automation, engaging stakeholders, managing workstreams, coaching juniors, and contributing to business development and thought leadership.

Lead execution of BI strategy, manage multidisciplinary teams, prioritize large BI initiatives, ensure quality deliverables, embed MLOps best practices, drive innovation and partnerships, and deliver analytics solutions for Product, Underwriting, and Pricing.

Lead a data science team to design and deliver merchant registry and profiling ML capabilities for onboarding and monitoring. Define strategy, guide model development and validation, promote reusable data assets, partner with Product and Engineering, drive Agile delivery, hire and mentor team members, and communicate impact to senior leadership to scale production ML systems on modern cloud/data platforms.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Serve as the primary technical pre-sales lead for large enterprise accounts, defining technical strategy, driving ML/AI and data-driven adoption, building technical champions, coordinating virtual teams, and supporting sales to deliver business outcomes using big data and cloud platforms.

The Data Product Manager will lead the development of enterprise data products by translating business needs into scalable data solutions, managing analytics projects, and coordinating with global teams to ensure efficient delivery and optimization of data initiatives.

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.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.