FAQs
Do we support remote work?
Yes, we offer a hybrid work arrangement where employees can work remotely 1-3 days per week.
What qualifications are required for this position?
A degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines is required.
What skills are essential for success in this role?
Essential skills include proficiency in predictive analytics, machine learning, natural language processing, SQL scripting, and hands-on experience with tools like Python, SAS, or R.
What does the Advanced Analytics and AI team focus on?
The Advanced Analytics and AI team focuses on applying best practices in predictive science, machine learning, and artificial intelligence to solve challenging business problems.
Will I have the opportunity to collaborate with other teams?
Yes, collaboration with various business units and academic institutions is a key part of the role to foster innovative solutions.
Is prior experience in AI or data science necessary?
Yes, candidates should have defined practical experience in Advanced Data Science and familiarity with advanced analytics techniques.
What benefits does CIBC offer to its employees?
CIBC offers a competitive salary, incentive pay, banking benefits, a pension plan, employee share purchase plan, vacation offerings, wellbeing support, and recognition programs.
How does CIBC support employee growth and development?
CIBC fosters employee growth through initiatives like Purpose Day, which provides a paid day off dedicated to personal development.
What is the work environment like at CIBC?
CIBC promotes a collaborative culture that values trust, teamwork, accountability, and diversity, allowing employees to thrive in their roles.
Are there opportunities for innovation in this role?
Yes, you will participate in an analytics community aimed at fostering and sharing analytic approaches across the enterprise to drive innovation.