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Litigation Operations Analyst
Supports mass litigation campaigns by analyzing complex legal data, coordinating cross-functional workstreams, and building reporting tools (e.g., dashboards) to optimize case management and client outreach—bridging legal, technical, and operational teams.
Litigation Operations Senior Analyst
Analyze litigation data, build dashboards, and support product development for a mass-litigation firm using tools like Salesforce and SQL.
Data Delivery Manager - Burnaby, BC
Data Delivery Manager leading end-to-end delivery of data projects across retail, clinical, and supply chain functions using Agile/Waterfall methodologies with tools like Databricks, Azure Data Factory, and Power BI.
Director, Digital Data Analytics & Performance
Leads analytics strategy, data products, and performance optimization for Rogers’ digital commerce, driving data-driven decisions to improve customer experience, conversion, retention, and revenue growth using AI, ML, and advanced analytics.
Power BI Developer
Design, develop, and maintain Power BI dashboards and reports using DAX and Power Query, write SQL queries, and support AWS Glue data pipelines to deliver BI insights across Operations, Finance, Logistics, and Corporate Services.
Head of Machine Learning
Leads ML strategy, architecture, and team for a product company, designing signal processing and ML systems for production, optimizing model performance, and managing MLOps pipelines.
Software Engineer Co-op Student (AI) (4-month contract)
4-month co-op on an AI & Enterprise Applications team, designing and developing software applications and AI/ML solutions using Python/C#/.NET/Java, cloud platforms (Azure), and ML frameworks like TensorFlow and PyTorch.
Databricks Architect (with Informatica)
Design and implement scalable Databricks Lakehouse data platforms and lead ETL modernization from Informatica to Databricks using Spark, PySpark, and cloud infrastructure.
Analyst, Data & Analytics
Data Analyst at Canada Life building data models, dashboards, and reports using Power BI, Databricks, SQL, and Azure services to support business decision-making and performance monitoring.
Databricks Architect
Design and implement scalable Databricks Lakehouse data platforms and lead ETL migration from Informatica to Databricks, working with Spark, PySpark, and Delta Lake on cloud infrastructure.
Economic Data Scientist
Lead advanced analytics projects, build predictive/econometric/ML models and data pipelines in Python, and create dashboards to support evidence-based economic policy for the Government of Alberta.
Software Engineer Co-op Student (AI) (4-month contract)
4-month co-op on the AI & Enterprise Applications team helping design, develop, and deploy software and AI/ML solutions using Python, C#/.NET, Java, TensorFlow/PyTorch, and Azure.
Data Scientist
Data Scientist leveraging Python, AI/ML, and Azure to build predictive models and data pipelines, turning complex financial data into strategic business insights.
Data Scientist, Fraud Detection
Data Scientist designing and deploying fraud detection models and strategies for transactional anomalies using Python, R, SQL, PySpark, and cloud platforms like Azure and IBM Cloud Pak.
Data Scientist II, Digital Analytics
Data Scientist II driving web and mobile digital analytics at TD Bank, translating customer behavior data across digital channels into dashboards, insights, and executive-ready recommendations.
Sr Prompt Engineer
Designs and optimizes AI-driven prompts and workflows for Microsoft Copilot to enhance sales enablement, knowledge sharing, and attendee engagement in commercial banking and conference settings.
Data Scientist
The Data Scientist will collaborate with cross-functional teams to implement data-driven solutions, analyze complex data models, develop and deploy machine learning models for predictive analytics, and create data visualizations using tools like Azure Databricks, Apache Spark, and Power BI.
Senior AI Engineer
Designs and deploys enterprise-scale Generative AI systems, focusing on LLMs, agentic workflows, RAG pipelines, and scalable microservices for AI-driven applications.