Data Scientist

Bank of Montreal; Toronto; Hybrid; CAD 83,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

Bank of Montreal in Toronto is seeking a data analytics professional to mine and analyze large data sets, design predictive models, and deliver data-driven insights that improve customer experience and business decisions. You will work with data engineers on ETL and collaborate across product teams to scale analytics solutions.

The role requires strong SQL and Python, ML algorithms, and experience with Pandas, NumPy, SciPy.

Qualifications

• Advanced knowledge in mathematics, statistics & operations research.
• Deep learning knowledge.
• Understanding of trust, bias and ethics in analytics.
• Creative and critical thinking required.
• Strong verbal and written communication skills.
• Collaboration and team orientation.
• Data driven decision making and influence skills.
• Analytical and problem solving abilities.

Responsibilities

• Develops predictive models and leverages big data technologies to drive smarter business decisions.
• Designs and constructs processes for modeling data and collaborates with data engineers on ETL.
• Provides data-driven recommendations to business leaders to maintain market competitiveness.
• Works with product teams to understand and deliver data-driven decisions and future roadmap.
• Contributes to innovative data strategies and scalable analytics solutions.

Skills

SQL

Python

Machine learning

Exploratory data analysis

Data visualization

Big data

Creative thinking

Critical thinking

Education

Bachelor's degree in Computer Science / Computer Engineering or related field

Tools

Pandas

Numpy

Scipy

Scikit-learn

Job description

Application Deadline:09/04/2026Address:33 Dundas Street WestJob Family Group:Data Analytics & ReportingThis is a 12 month hybrid contract role in TorontoUses 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.Work with data engineer to do data ETL.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 is primarily on business/group within BMO; may have broader, enterprise-wide focus.Provides specialized consulting, analytical and technical support.Exercises judgment to identify, diagnose, and solve problems within given rules.Works independently and regularly handles non-routine situations.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.Qualifications:Intermediate level of proficiency:Mathematics, statistics & operations research.Deep learning.Trust, bias and ethics.Creative thinking.Critical thinking.Advanced level of proficiency:Fluent in SQL and Python.Solid knowledge and understanding of machine learning algorithms.Experience in Exploratory data analysis including feature engineering, data manipulation (required python packages: Pandas, Numpy, Scipy)Experience in building traditional machine learning models, i.e. classification, regression, clustering using Sklearn and other Python packages.Big data.Data visualization.Computational thinking and programming.Data wrangling.Data preprocessing.Creative reasoning.Verbal & written communication skills.Collaboration & team skills.Analytical and problem solving skills.Influence skills.Data driven decision making.Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science, Computer Engineering or 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 :$82,800.00 - $154,800.00Pay Type:SalariedThe 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 benefits, please visit: https://jobs.bmo.com/global/en/Total-RewardsAbout UsAt BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.To find out more visit us at https://jobs.bmo.com/ca/en .BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.