Data Scientist with Python and R

Requirements:

• Proficiency in deep learning techniques
• Knowledge of machine learning principles
• Understanding of trust, bias, and ethics in data
• Creative and innovative problem-solving skills
• Strong critical thinking abilities
• Intermediate expertise in mathematics, statistics, and operations research
• Familiarity with big data technologies
• Skills in data visualization
• Competence in computational thinking and programming
• Experience in data wrangling and preprocessing
• Ability to solve complex problems
• Strong analytical and reasoning skills
• Effective verbal and written communication skills
• Team collaboration and interpersonal skills
• Proven analytical and problem-solving capabilities
• Skills in influencing data-driven decision-making
• Typically requires 4 to 6 years of relevant experience along with a post-secondary degree in a related field or equivalent experience
• Technical proficiency derived from educational and professional experience

Responsibilities:

• Utilize advanced analytical algorithms to analyze large sets of structured and unstructured data for insights
• Design and build processes for data modeling
• Develop predictive models leveraging big data technology for improved decision-making and customer experience
• Collaborate with analytics teams to enhance and scale solutions
• Contribute to innovative data strategies to identify consumer trends for business resolution
• Extract useful data from sources to evaluate AI/ML solution feasibility
• Conduct extensive analysis to reveal patterns and trends by integrating various modules and algorithms
• Provide strategic recommendations to business leaders to ensure market competitiveness
• Investigate new technologies for developing pioneering data solutions
• Work closely with product teams to support data-informed decision-making and future planning
• Execute independent resolution of complex tasks including unique situations
• Take calculated risks while adhering to our Risk Management Framework

Technologies:

• AI
• Big Data
• Support
• Machine Learning
• Network

More

At BMO Financial Group, we are committed to creating meaningful change in business and life. We foster an inclusive and equitable workplace where every voice is valued and heard. Our team encourages growth and supports you with the necessary resources to achieve your professional goals. We offer a comprehensive compensation package, including performance-based incentives, health insurance, tuition reimbursement, and retirement savings plans. Our commitment to diversity enriches our perspectives and strengthens our community. We invite individuals to explore opportunities with us and contribute to our mission of promoting positive growth.

last updated 43 week of 2026