As a Data Scientist II in Business Banking, you will be responsible for designing, developing, and delivering advanced analytics solutions that support data-driven decision making. This role combines strong technical expertise, analytical thinking, and business partnership to translate complex business problems into scalable data assets.
Compensation
$81,600 - $115,200 CAD
Responsibilities
Leverage analytics, statistical modeling, machine learning, and data mining techniques to uncover insights, support data-driven decision-making, and optimize business outcomes.
Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
Visualize insights from data to illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
Collaborate with other partners, such as AIML scientists, data and business analysts, and product owners to develop scalable solutions that retain long term benefit to the business.
Requirements
Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science)
Engineer responsible for testing AI models and software in automotive contexts, developing ground truth data, reference materials, and robust testing frameworks.
Compensation
Salary: $95,000 - $145,000, annual salary
Responsibilities
Generate ground truth data and annotated datasets
Develop reference materials and testing frameworks
Engage with internal customers to identify challenges
Collaborate with universities and external partners
Support R&D project team engineers and researchers
Requirements
Bachelor's or higher degree in Engineering (Computer Science, Electrical, Aerospace, Robotics)
The Manufacturing Data Analyst supports Factory of the Future and Industry 4.0 initiatives by leveraging data, analytics, and AI technologies to improve manufacturing efficiency, quality, and operational performance.
Compensation
$90,000 - $125,000 annual compensation
Responsibilities
Lead industry 4.0 and AI initiatives by identifying, prioritizing, and implementing data-driven solutions that optimize manufacturing processes across molding, assembly, and co-extrusion processes.
Collaborate with cross-functional teams including engineering, operations, IT, and automation teams to integrate digital technologies and analytics into production systems
Develop and maintain data infrastructure including ETL pipelines, databases, SQL queries, and data environments to support manufacturing analytics and AI applications.
Collect, validate, and manage production data from multiple sources, including PLCs, HMIs, sensors, and enterprise systems, ensuring data accuracy and integrity.
Design, develop, and optimize machine learning and AI models to improve quality, productivity, predictive maintenance, process control, and operational efficiency.
Requirements
Bachelor’s degree in a relevant field such as Computer Science, Engineering, Data Science, or a related discipline
Nice to have: AWS
Nice to have: Azure
Nice to have: Hadoop
Nice to have: Spark
Senior Data Scientist
Canadian Tire Corporation, Limited · Posted Nov 6, 2026
Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources
Compensation
Broadband Salary Range: $64,000 – 106,000
Our typical hiring range is between $90,000 and $95,000.
Responsibilities
Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources
Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation
Deploy new models and track day-to-day scoring activities, addressing system or procedural issues as needed
Monitor effectiveness of all statistical models and recommend appropriate course of action
Perform optimization analysis and build supporting component predictions
Requirements
University degree in Statistics, Actuarial Science or Mathematics
Develop and improve AI/ML models for customer intelligence, including occasion discovery, transaction classification, and generative AI prompts, and move models from experimentation to production.
Compensation
Broadband Salary Range: $64,000 – $106,000.
Responsibilities
Develop better approaches to customer occasion discovery and transaction classification
Test new ML and GenAI methods and demonstrate measurable improvement
Help move new approaches from experimentation into production
Build robust evaluation frameworks for ML and GenAI outputs
Improve model accuracy, coverage, stability and interpretability
Requirements
PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering or a related quantitative discipline
Quantitative Analyst co‑op/internship focused on data analytics, modeling, and machine learning within BMO’s financial services.
Compensation
$65,000.00 - $140,000.00
Responsibilities
Develop and leverage APIs to extract, integrate, and automate data workflows
Create data visualizations, reports, and interactive dashboards
Apply Bayesian statistics and machine learning techniques to real‑world problems
Design and construct new processes for modeling data
Develop predictive models and machine learning algorithms
Requirements
Master's degree or PhD in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or related quantitative discipline
Nice to have: machine learning in financial services
Nice to have: cloud‑based analytics platforms
Nice to have: advanced quantitative research methods
Senior Associate in Data + AI Advisory team responsible for executing solution delivery engagements, defining AI and Data strategy, collaborating with consultants across regions, and building AI/Data strategies with implementation recommendations.
Compensation
Compensation Range: $62,000 - $107,500
Responsibilities
Executing solution delivery engagements through definition of AI and Data strategy and vision statements
Identifying use cases, setting future state capabilities and associated implementation efforts
Collaborating and working effectively with consultants in other regions and practices
Requirements
Bachelor's degree or graduate degree with an emphasis in Math, Computer Science, Information Systems, or Business
Nice to have: prior experience in a consulting environment
Nice to have: defining data & AI operating models
Nice to have: building data, analytic, data science, or AI solutions
Nice to have: working knowledge of data architecture
Senior AI EngineerWarner Music Inc. · Toronto, Canada