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Senior Data Architect defining data architecture and developing data marts using Kimball methodology for a public-sector justice client in Edmonton, working with T-SQL/Oracle, Azure, and court/justice data systems.
Senior Data Architect designing and governing data architectures for public sector and healthcare projects, building Kimball-style data marts and working with JIMS 3.0 in constrained, privacy-regulated environments.
Insight Global is seeking a Senior Financial Analyst to own budgeting, forecasting, and financial modelling within a growing FP&A team. You will build Power BI dashboards, automate reporting, and provide…
Develops and optimizes enterprise databases and reporting dashboards for financial planning and government reporting at a Métis government organization.
Data Analyst on a 12-month hybrid contract automating reporting, building Alteryx workflows and Power BI dashboards, querying data with SQL, and supporting a migration to Azure Databricks.
Data Analyst at TBWA\Canada's Toronto office supporting an automotive client with SQL, Python, and Tableau — building dashboards, maintaining data pipelines, and developing media optimization and ROI models in an advertising agency setting.
Builds and optimizes Salesforce reports for a contact center, creating Power BI visualizations to improve data-driven decision-making and team collaboration.
The Asset Data Steward manages asset data within the CMMS, ensures data integrity, and supports regulatory compliance for Tourmaline Oil. This is an 18-month contract role requiring experience in the oil and gas industry.
The Senior Data Scientist will design and deploy machine learning and generative AI solutions to solve complex business challenges at WestJet. This role involves end-to-end model development, from data engineering and feature creation to production deployment and executive-level communication.
Build and deploy AI tools to automate and accelerate retail sales workflows, integrating models into core systems while ensuring security and adoption across the field.
Develops machine learning models for fraud detection and risk management in global payments, collaborating with engineering and operations to deploy solutions and inform fraud strategy.
Data Scientist on a 10-person Alpha Science team at a large Canadian pension fund, building data pipelines, ML models, and dashboards in Python and SQL to support investment decision-making across asset classes using market and alternative datasets.
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.
Data Scientist at a pension fund building data pipelines, conducting ML analyses, and creating dashboards to generate actionable insights that support investment decisions.
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.
Staff ML Engineer on Okta's Generative AI team, architecting and deploying production LLM/GenAI systems including RAG workflows, agentic applications, and LLMOps pipelines using Python, Claude-based systems, and modern AI agent frameworks.
Develop and deploy ML models for risk scoring and threat intelligence on a cybersecurity ratings platform, using Python, ML frameworks like scikit-learn/XGBoost/PyTorch, and cloud-based data pipelines.
The Sr Data Scientist will lead end-to-end data science initiatives to detect cheating, fraud, and other risks in gaming platforms. They'll develop machine learning models using gameplay telemetry and player behavior data, collaborate with cross-functional teams, and mentor junior data scientists.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Designs and optimizes enterprise data platforms for analytics and AI, focusing on scalable, secure data pipelines, lakehouses, and warehouses using Microsoft Fabric and Azure.
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