Top Data Science Jobs in Toronto

Leads Mastercard’s Tech for Good initiatives, scaling AI, data, technology, and analytics for social impact organizations. Manages grants, partnerships, internal coalitions, proprietary tools, vendors, and cross-functional technical projects. Drives data- and AI-enabled decision-making, research translation, measurement and evaluation, grantee capability building, and thought leadership while advancing inclusive growth and financial health outcomes.

Leads a team of Product Sales Specialists responsible for product adoption, cross-sell, expansion, pipeline, and revenue outcomes. Coaches consultative selling, manages forecasting and performance, develops scalable sales plays, and partners with Account Executives, Account Managers, Product, Marketing, Operations, Data Science, and Enablement. The role also engages in strategic seller opportunities, improves product expertise across sales teams, and builds repeatable commercial motions for Square’s products.

Leads Personal Insurance’s strategic change, transformation, operational effectiveness, AI enablement, workforce evolution, and organizational effectiveness agenda. Oversees change portfolios, modernization programs, process improvement, governance, business readiness, risk management, vendor investments, and adoption. Partners across technology, data science, HR, underwriting, pricing, operations, and distribution while developing leadership capability and future-ready organizational structures.

Leads statistical strategy for oncology drug discovery programs, influencing scientific and portfolio decisions from target identification through candidate selection and biomarker development. Applies statistical modeling, experimental design, AI/ML, data science, predictive analytics, and quantitative decision frameworks to translational and high-dimensional studies. Collaborates with multidisciplinary and external teams, develops analytics capabilities and decision-support tools, champions reproducible research, and leads publications and scientific presentations.

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

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.

Cygnus Professionals Inc. seeks experienced Hadoop developers for their IT Solutions Division. The role involves working with various technologies and clients to deliver tailored IT solutions.

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

Data Science interns develop optimization, machine learning, and statistical models for Lyft’s transportation marketplace. Responsibilities include exploratory data analysis, production modeling code, algorithm implementation, simulated and live experiments, analysis of experimental and observational data, and communicating findings to cross-functional partners. Interns collaborate with engineering and product teams to support launch decisions.

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.

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 a data science team within Corporate Treasury to build liquidity and funding risk models, dashboards, and analytics. Hands-on work with large datasets, ML/deep learning models, PySpark/Python and big-data platforms, delivering reports and recommendations to business stakeholders while coaching and developing team members.

Participate in an 18-month rotational analytics program, preparing and analyzing large datasets, engineering features, developing predictive and optimization models, and communicating insights. Collaborate with technical teams and business partners to identify opportunities, propose data-driven solutions, support business cases, and deploy analytics applications. Associates receive coaching, training, and exposure to multiple business areas.

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.

Rotational new graduate program developing analytics expertise across Finance Decision Support, retail analytics, business intelligence, data engineering, finance transformation, and AI development. Responsibilities include creating dashboards and visualizations, analyzing data, building models, improving reporting processes, supporting financial modeling, and developing trustworthy AI-driven workflow automation. The role involves two 12-month rotations and cross-functional collaboration with Finance, Merchandising, and other internal and external teams.

Entry-level rotational data science role supporting Finance and Merchandising through business analytics, BI dashboards, data engineering, data modeling, AI development, process automation, and finance transformation. The associate completes two 12-month rotations, develops data-driven solutions, provides decision support, and collaborates with cross-functional teams. The role is based in Toronto with four days onsite weekly and targets students graduating in December 2026 or spring 2027.

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.

Lead Payments Data Science and Analytics for eBay Financial Services. Manage analysts, define analytics strategy and roadmaps, measure product performance, conduct A/B testing and causal inference, build predictive analytics and dashboards, and partner with Engineering, Product, and Business teams to drive cost savings, revenue growth, and product decisions.

Leads total fund data science, AI-enabled analytics, semantic modeling, governed data products, and investment reporting capabilities. Designs analytical models, ETL/ELT pipelines, semantic metric layers, data marts, and LLM/RAG interfaces across enterprise platforms. Provides technical oversight, governance, quality controls, stakeholder influence, and strategic delivery across Finance, Investments, Technology, and Data. Coaches colleagues and advances responsible AI adoption, reporting automation, investment insight generation, and operational efficiency.

Lead a team to deliver analytics solutions, transforming data into actionable insights, building AI/ML models, and collaborating across business units to drive analytics adoption.

Interns join Wealthsimple’s Software Development or Data Science teams for 4–8 months. Software interns build and test financial products, platforms, infrastructure, and ledger systems using modern engineering stacks. Data Science interns analyze production financial data, design experiments, build machine learning models, and generate insights for product, growth, credit, fraud, and business decisions. Both tracks emphasize ownership, rapid iteration, collaboration, curiosity, and effective communication.

Lead the development, validation, and maintenance of clinical data programming solutions for EDC/CDMS systems, vendor data, analytics, reports, integrations, and data transfers. Provide technical leadership across studies, serve as a programming subject matter expert, mentor programmers, support study teams, and drive automation and process improvements. Collaborate with data managers, biostatisticians, and project managers to ensure high-quality clinical trial data management solutions.

Develops, validates, and maintains clinical data programming solutions for CDMS and clinical trials, including eCRFs, edit checks, data validation outputs, reports, extracts, transfers, and vendor data programs. Collaborates with cross-functional clinical data teams, supports study setup and maintenance, mentors junior programmers, creates training materials, and improves technical systems and processes.