BMO U.S. · 17 hours ago
Principal Data Scientist, Quantitative Analysis and Strategy
Chicago, IL
Full-time
Onsite
Senior Level, Lead/Staff
$122K/yr - $228K/yr
5+ years expBMO U.S. is a financial services provider that aims to create lasting, positive change for customers, communities, and employees. They are seeking a Principal Data Scientist to leverage advanced analytical algorithms and technologies to analyze large sets of data, develop predictive models, and design solutions that enhance business decisions and customer experience.
Banking
Responsibilities
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems
Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap
Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs
Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms
Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness
Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do
Ensures alignment between values and behaviours that fosters diversity and inclusion
Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through
Qualification
Required
Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field
5+ years of data science experience
In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc
Data visualization and polished communication skills
Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment
Highly analytical, technically proficient, and able to learn new tools and ML models quickly
Trust, bias and ethics
Collaboration & team skills; with a focus on cross-group collaboration
Able to manage ambiguity
Data driven decision making
Experience with GenAI LLM models
Experience with MLOps, building workflows for model retraining, monitoring and deploying
Experience with ML frameworks such as TensorFlow, PyTorch
Experience with cloud-based data platforms such as AWS or Azure
Experience with data visualization tools such as Power BI
Benefits
Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Company
BMO U.S.
We’re a bank, but there’s more to it than that. We're a top ten bank in North America and have been serving our customers since 1817.
5001-10000 employees
H1B Sponsorship
BMO U.S. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (11)
2023 (41)
2022 (22)
2021 (14)
2020 (21)
Funding
Current Stage
Late StageLeadership Team
Mike Morton
Vice Chair U.S. Commercial Banking
Recent News
2025-10-16
2025-09-23
Company data provided by crunchbase