BMO Financial Group
Data Analytics & Reporting
SeniorManager,MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Manager, Machine Learning at BMO Financial Group. Skills: Machine learning, Data analysis, Predictive modeling, Cloud platforms. Mine and analyze data. Design processes for modeling data”
What You'll Achieve.
Obtain insights; Deliver smarter business decisions; Improve customer experience; Drive productivity; Address business problems; Improved processing and usage of organization data; Maintain market competitiveness
Industry & Context.
Find solutions to problems that can be complex and non-routine
What They're Looking For.
Must Have
7+ years of relevant experience, programming skills in Python or SAS, Proficiency in SQL, Proficiency in Big data technologies (Hadoop, Spark)
Nice to Have
Experience working in cloud based modeling environment (AWS Sagemaker, AzureML, etc), Experience in automation and scheduling of data pipeline for end-to-end scoring solutions, Experience developing customer discretionary pricing optimization models
What You'll Do.
Mine and analyze data
Design processes for modeling data
Develop predictive models
Design solutions with big data
Assess feasibility of AI/ML solutions
Conduct large-scale analysis
Provide recommendations to business leaders
Develop prediction systems
Investigate additional technologies
Provide data-driven decision making
Address unique or ambiguous situations
Find solutions to complex problems
Implement changes in response to trends
How You'll Work.
Team & Collaboration
Collaborates with other data and analytics professionals; Collaborate with the product team and partners
Communication Scope
Serves as a specialist resource to senior leaders and stakeholders
Full Job Description
Application Deadline: 06/29/2026 Address: 33 Dundas Street West Job Family Group: Data Analytics & Reporting We are seeking a Senior Manager to join our team on a 12-month contract to support key machine learning initiative. Responsibilities: Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. * Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. * Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. * Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. * Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. * Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. * Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. * Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders. * Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
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