Data Science Analyst - Audit AI & Analytics, Winter ; Co-op​/Internship

Final date to receive applications

09/19/2026

100 King Street West

Data Analytics & Reporting

The ideal candidate will have an education background in the areas of Computer Science, Mathematics, Commerce, or any other related majors.

• General knowledge of programming languages in SQL/Python
• Power BI experience
• Data analytics, machine learning and AI, Large Language Models
• Knowledge of products such as Copilot, Gemini, ChatGPT
• Prompt experience to create solutions and automations
• Passionate about applying automation and AI technologies to improve results
• Proud of delivering end to end solutions
• Can work independently, curious and results oriented
• Strong project and time management skills

• 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 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.
• Focus may be on a business/group.
• Think creatively and proposes new solutions.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works mostly independently.
• Broader work or accountabilities may be assigned as needed.
• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

• Intermediate level of proficiency:
  Commercial astuteness.
• Technology Transformation.
• Learning Agility.
• Emotional Agility.
• Change Management.
• Systems thinking.
• Design leadership and executive alignment.
• Stakeholder management.
• Value Realization (Architecting & Tracking).
• Driving outcomes.
• Advanced level of proficiency:
  Continuous process improvement.
• Building and managing relationships.
• Agile Frameworks and Practices.
• Purpose and strategy alignment.
• Coaching and Mentoring.
• Facilitation Skills.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Influence skills.
• Collaboration & team skills.
• Data driven decision making.
• Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary: $54,600.00 - $

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above…