Top Data Science Jobs in Toronto

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.

Develop enterprise customers’ automation strategies, identify and deploy high-value AI-enabled use cases, quantify ROI, and drive adoption, renewal, and expansion. Build executive and stakeholder relationships, advise on governance and scalable orchestration, coordinate internal and customer teams, interpret usage data, and create repeatable methodologies and playbooks for Zapier’s enterprise customer success program.

Lead product strategy and market fit for CoCounsel Tax, Audit & Accounting across corporate customers. Research customer needs, prioritize the roadmap, define enterprise workflows, and shape MCP/API-based AI platform capabilities. Partner with engineering, data science, subject matter experts, marketing, sales, and operations to launch technically complex products, improve onboarding, support enterprise security and compliance, and enable corporate go-to-market efforts.

Lead technical strategy and pre-sales engagement for major financial services and insurance accounts. Guide enterprise customers through data and AI transformation, drive Databricks adoption, build technical champions, present solutions to executives, and coordinate sales and technical teams. Apply expertise in big data, data science, cloud platforms, machine learning, and production programming to deliver business outcomes across large global accounts.

Leads consumer science research supporting product development across multiple consumer health and personal care brands. Designs qualitative and quantitative studies, product optimization research, benchmarking, and claims validation. Represents Consumer Science on cross-functional teams, coordinates research vendors, interprets findings, and communicates consumer insights. Advances digital research, data science, analytics, and modeling capabilities while ensuring ethical and quality standards.

Leads Agile delivery across multiple teams or complex value streams, facilitating Scrum ceremonies, coaching teams, resolving impediments, managing dependencies and risks, and aligning stakeholders. The role oversees backlog and sprint goals, delivery metrics, release and change management, governance, reporting, and continuous improvement. Experience with analytics programs, cloud platforms, and tools such as Azure DevOps, Jira, Confluence, and Miro is valuable.

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.

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 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.

Owns the strategy and roadmap for Duck Creek’s billing product domain, including invoicing, payments, collections, commissions, disbursements, reconciliation, and automation. Partners with engineering, architecture, data, finance, sales, and customers to deliver configurable, scalable, compliant, and explainable billing capabilities. Leads discovery, prioritization, AI-enabled decision support, governance, adoption, and financial outcomes for insurance billing workflows.

Lead and manage a high-performing data science team within Global Payment Services, develop and execute data strategy, build ML/optimization solutions, drive revenue growth and product/process improvements, collaborate with stakeholders, ensure regulatory and financial reporting, and mentor team members.

Manages Clinical Data Science staff, client relationships, project delivery, budgets, quality, utilization, training, and regulatory readiness across clinical studies. Oversees clinical data science activities from project launch through closeout, supports audits and CAPAs, monitors data quality and risk, mentors team members, contributes to business development, and helps develop tools, SOPs, and processes for clinical data management.

Leads Gore Mutual’s data science function, managing teams that develop, deploy, validate, and govern predictive, generative AI, LLM, and agentic solutions. Sets the analytics and AI strategy, oversees production ML infrastructure and model monitoring, ensures regulatory, ethical, privacy, and risk compliance, and identifies opportunities to improve underwriting, fraud detection, pricing, operations, and business growth. Partners with executives and cross-functional teams to translate analytical findings into strategic outcomes while fostering innovation, experimentation, and advanced data science capabilities.

Own domain datasets, data pipelines, business metrics, and quality checks that support Lyft’s marketplace decisions. Build reliable analysis-ready data, deliver metrics to stakeholders, and partner with product managers, engineers, and operators to translate data into action. Communicate analytical findings clearly and maintain trusted data products with executive visibility.

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.

Own production-grade analytics pipelines from design through maintenance, build dbt-based analytical models using Kimball dimensional modeling, and deliver reliable data features. Partner with Product, Engineering, and Data Science teams to translate retail signals into business insights. Establish standards for monitoring, documentation, reproducibility, and code quality. Use AI tools to accelerate development and prototype conversational data experiences for natural-language retail data exploration.

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.