Manager, Data Science

Requisition ID: 170914 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. **Purpose** Executes advanced analytics projects for Global Operations that deliver quantifiable benefits and improvements in business processes aligned to strategic objectives. The incumbent will leverage quantitative knowledge, data storytelling skills, data visualization tools and business knowledge to drive a superior customer experience and enable business strategy. She/he will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures. **Accountabilities**: - Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. - Leverages Operations Research tools to optimize business processes. Finds new opportunities of solving business problems in Global Operations. - Champions data-driven decision making across functions by making analytical recommendations based on operational/financial/customer data and benchmarks. Identifies opportunities for operational efficiencies and cost savings. - Leverages advanced analytics techniques to improve customer/employee experience and end-to-end business processes, with a focus on optimization and simulation techniques. - Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication. Strong interpersonal and communication skills are essential. - Provides advanced data mining techniques to provide fact-based analysis. Leverage agility and creativity to maximize value and insight delivered by data analysis. Utilize varied and complex data sources, including enterprise data lake, cloud and diverse source systems. - Utilizes visualization tools (Power BI) to communicate analytical insights and to support relationships with stakeholders. These insights are expected to strategically influence decisions of business operations management and create value. - Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. - Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. - Champions a high-performance environment and contributes to an inclusive work environment. **Education / Experience / Other Information** - Postgraduate University degree in analytics, data science, engineering, statistics, mathematics or related fields - 2+ years of experience in managing and analyzing data with advanced techniques - Working experience in people analytics, operations research techniques such as process optimization and simulation techniques - Advanced knowledge of Python, SQL, Power BI and DAX - Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset - Excellent verbal and written communication skills to effectively present information to relevant stakeholders at all levels of the organization Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.