Senior Data Scientist - AI & Advanced Analytics
Delpath is a Toronto based Technical & Business Consulting firm providing recruitment & contracting services for our enterprise clients across North America. We are currently supporting a large Canadian Bank in their search for a contractor to meet their needs in the following area.
Location Address: Toronto- 2-3 days in the office per week.
Contract Duration: 1 year
Story Behind the Need- Corporate Functions Analytics
The Senior Data Scientist within the Corporate Functions Analytics team is responsible for designing and implementing advanced analytics and artificial intelligence (AI) solutions that address complex business challenges across bank’s global Corporate Functions. This role requires a strong drive to uncover actionable insights from data and apply those insights to identify and capitalize on business opportunities.
Must-have requirements:
5- 8 years of experience and advanced expertise in AI and machine learning, data engineering to develop solutions within the Corporate Functions Analytics team.
A relevant STEM degree is required, along with experience in statistical analysis, machine learning, and predictive modeling (cross-sell, upsell, attrition).
Strong programming skills (Python, Spark, R, SQL), experience with Cloud environments, and visualization tools like Power BI are expected.
Applicants are required to manage substantial amounts of both structured and unstructured data, utilize machine learning techniques for strategic development, and preferably possess expertise in operations research methodologies for optimizing strategies.
Strong collaboration skills, the ability to clearly convey technical information as business value, and proficiency in documentation and presenting findings are essential.
Nice-To-Have Skills:
Spanish proficiency is an asset
Managing business stakeholder experience is an asset
Previous banking experience is an asset
Best VS. Average Candidate:
The best candidate takes ownership, has experience leading development, and understands data. Someone who has spent plenty of years translating business requirements into data and analytics results. Someone who can demonstrate proactivity in data and analytics by combining curiosity, business acumen, and ownership.
