Junior Data Engineer (Co-Op/Internship) - Fall 2023, 12 Months

This role will be hybrid, based in Toronto.
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 Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate 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 Twitter @BMOonCampus & Instagram @BMO_on_Campus.
Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.
Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad
Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

• Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
• Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
• Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
• Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
• Uses the appropriate algorithms to discover patterns.
• Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Provides advice and guidance to assigned business/group on implementation of analytical solutions.
• Builds effective relationships with internal/external stakeholders and ensures alignment.
• Broader work or accountabilities may be assigned as needed.
• Leads/participates in the design, implementation and management of core business/group processes.
• Performs experimental design approaches to validate finding or test hypotheses.
• Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
• Supports development of tools and delivers training for data analytics and AI.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Works independently on a range of complex tasks, which may include unique situations.

Qualifications:

• Verbal & written communication skills - In-depth.
• Experience in statistical analysis, data mining, and data cleansing / transformation.
• Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Collaboration & team skills - In-depth.
• Data driven decision making - In-depth.
• Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
• Knowledge of distributed computing and/or distributed databases.
• Influence skills - In-depth.
• Analytical and problem solving skills - In-depth.
• Technical proficiency gained through education and/or business experience.
• Knowledge of visualization techniques and concepts.
• Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).

We’re here to help
At 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.