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Senior Data Scientist
Senior Data Scientist building and evaluating ML models (regression, classification, forecasting) using SQL and Python, delivering end-to-end data science solutions for TCS's AI CoE in Toronto.
2027 Winter Student Opportunities RBC Borealis -Machine Learning Software Engineer, 4 Months - [...]
4-month co-op ML Software Engineer at RBC Borealis, building ML-based software solutions end-to-end—from data ETL using Hadoop/Spark to implementing ML algorithms and front-end development—within a major bank's AI innovation lab.
Enterprise Data Architect
Designs and optimizes enterprise data platforms for analytics and AI, focusing on scalable, secure data pipelines, lakehouses, and warehouses using Microsoft Fabric and Azure.
Senior Data Scientist: ML, Forecasting & Insights
Senior Data Scientist driving AI and analytics initiatives end-to-end—from data exploration to model deployment—using ML, statistical modeling, SQL, Python, visualization tools, and cloud platforms in Toronto.
Staff Data Scientist, AI Evaluations Platform- EN
Lead the design and implementation of AI evaluation frameworks for generative and agentic systems at a major bank, ensuring model safety, quality, and compliance while mentoring junior data scientists.
S Data Scientist, Fraud Stripe via Greenhouse Toronto 7112 data science View role
Builds and refines fraud detection models (account takeover, card fraud, merchant loss) for Stripe’s global payments platform, collaborating with engineering and risk teams to deploy solutions and drive financial integrity.
Senior SRE/AIOps Engineer
Senior SRE/AIOps Engineer at RBC responsible for designing and maintaining site reliability and AIOps capabilities—including observability, automation, and self-healing systems—for HR data pipelines and SaaS applications using Dynatrace, ELK stack, Ansible, and Snowflake.
Senior Data Scientist
Senior Data Scientist at WestJet-Airline in Calgary, Canada. Works on data-driven decision-making, develops advanced analytics and AI solutions, and collaborates with cross-functional teams using Python, SQL, machine learning, generative AI, and cloud platforms like Snowflake.
Data Scientist
Data Scientist building a proprietary AI-powered data environment, integrating Salesforce and ERP data, developing ML/predictive models and delivering business insights using Python, SQL, and cloud platforms (AWS/Azure/Databricks).
Senior Data Scientist
Senior Data Scientist supporting TCS's AI CoE with end-to-end data science solutions—building and evaluating regression/classification models using SQL and Python, with exposure to Azure, Databricks, and MLflow in Toronto.
Data Scientist
The Data Scientist applies advanced analytics and machine learning to optimize demand forecasting, pricing, promotions, and trade spend for Coca-Cola Canada’s beverage operations, translating data into actionable insights for commercial and operational teams.
Senior Data Scientist (Machine Learning)
Senior Data Scientist (ML) on a 12-month contract supporting the Government of Alberta's Data Strategy, focused on ML model development, AI-assisted analytics, data de-identification, and building analytical data products using Python, R, and SQL.
Principal AI Engineer
Leads AI/data engineering solutions on RBC’s hybrid multi-cloud platform, designing scalable pipelines, RAG systems, and agentic workflows to meet business objectives. Mentors teams and ensures robust, governed data products for financial AI applications.
AI Engineer (Full-Stack)
Builds and maintains production web applications and AI-powered features across full-stack systems, integrating LLMs and APIs while collaborating with distributed teams.
AI Engineer, GTM
Build and ship AI agents, agentic workflows, and CRM integrations that automate GTM (sales/marketing) operations at a major Canadian media company, using Python, LLM APIs (Claude, OpenAI, Bedrock), and orchestration tools like LangChain/LangGraph.
Machine Learning Engineer III
Build and operate production-grade data and ML infrastructure powering fraud detection, anti-cheat, and account security systems across EA games using Python, SQL, Spark, Docker, Kubernetes, and cloud platforms.