About this opportunity
DataJobs lists this Senior Data Scientist opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
BMO Financial Group is hiring a Senior Data Scientist to help turn large, complex datasets into predictive models and practical business insights. In this Chicago, IL onsite role, you will apply advanced analytical algorithms and AI/ML to discover patterns, support data-driven planning, and contribute to risk-aware decisions aligned with BMO’s Risk Management Framework.
What you’ll do
Use advanced analytical algorithms and technologies, including machine learning , deep learning , and artificial intelligence , to mine and analyze large sets of structured and unstructured data.
Design and build new modeling processes and develop predictive models using big data technologies to support smarter business decisions, improved customer experience, and higher productivity.
Perform large-scale analysis by combining modules and algorithms to uncover trends and patterns across information sources.
Collaborate with other data and analytics professionals to optimize, refine, and scale analytics solutions into mature capabilities.
Engage in data-focused innovation to advance strategies for understanding consumer trends and solving business problems.
Conduct data mining and extraction from valuable sources to evaluate feasibility of AI/ML approaches and improve processing and usage of organizational data.
Develop prediction systems and machine learning algorithms, and investigate additional technologies and tools to create innovative solutions for business stakeholders.
Provide specialized consulting, analytical, and technical support, including recommendations and advice to business leaders to help maintain market competitiveness.
Work with product teams and partners to support data-driven decision making, business planning, and future roadmaps.
Operate primarily within a business/group focus, with potential for broader enterprise-wide impact.
Use judgment to identify, diagnose, and solve problems within defined rules; work independently and manage non-routine situations.
Apply BMO’s Risk Management Framework in a way consistent with Risk Culture and approved Risk Appetite, making sound, risk-informed decisions aligned with business strategy, protecting assets, and complying with applicable policies, laws, and regulations.
Required experience and skills
Mathematics, statistics & operations research.
Deep learning.
Machine learning.
Trust, bias and ethics.
Creative thinking and critical thinking.
Big data.
Data visualization.
Computational thinking and programming.
Data wrangling and data preprocessing.
Creative reasoning.
Verbal and written communication skills, collaboration and team skills.
Analytical and problem solving skills, influence skills, and data-driven decision making.
Typically 5 to 7 years of relevant experience plus a post-secondary degree in a related field, or an equivalent combination of education and experience.
Deep technical proficiency demonstrated through extensive education and business experience.
Technologies
machine learning
deep learning
artificial intelligence
big data
data visualization
Compensation and benefits
Salary range: USD 90,000 to 180,000 per year (salaried). Compensation may vary based on factors such as location, skills, experience, education, and qualifications, and may include commission structure for eligible roles. Total compensation can include performance-based incentives, discretionary bonuses, and other perks and rewards.
Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses
Other perks and rewards
Application details
Location: Chicago, IL (onsite)
Address: 320 S Canal Street
Job family group: Data Analytics & Reporting
Application deadline: 11/29/2026
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.