More jobs:
Data Science Intern, Summer ; Co-op/Internship
Job in
Downtown Toronto (Central Bay Street), Ontario, M5G, Canada
Listed on 2026-01-01
Listing for:
BMO Financial
Full Time, Part Time, Seasonal/Temporary, Contract, Apprenticeship/Internship
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Location: Downtown Toronto (Central Bay Street)
Final date to receive applications:
01/09/2026
Address:
100 King Street West
Job Family Group:
Data Analytics & Reporting
As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Banking Mentorship Program, BMO Social Squad student-led activities, BMO Academy learning platform and access to various Employee Resource Groups to further develop your network within BMO.
Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on and joining our Linked In group BMO Campus Recruiting & Early Talent.
Note:
Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at
To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.
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.
Focus may be on a business/group.
Thinks 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.
Qualifications:
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.
As a full-time employee, we would require 5 - 7 years of experience, however as part of the BMO Campus Program, we are looking for motivated individuals with a strong desire to learn.
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 represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our…
Position Requirements
Less than 1 Year
work experience
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