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Requisition ID: 275751

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

The Advanced Analytics & Modeling team is responsible for developing and implementing best-in-class analytics solutions to provide actionable customer-focused insights on business initiatives across the Bank, and for commercializing analytical frameworks and methodologies for use across the organization that highlight opportunities to acquire, grow and retain customers.

Within this department, the Senior Data Scientist is responsible for solving complex business problems, using quantitative approaches with a unique blend of analytical, mathematical and technical skills. The incumbent uses their technical skills to develop advanced analytical assets that will help the Bank achieve its business objectives.

The incumbent will work closely with analytics teams, business lines, data stewarts and other internal stakeholders to drive business value, and recommend solutions to drive customer acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage.The incumbent will require a combination of business focus, robust analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies.

Excellent written and communiation skills are requiried and the Senior Data Scientist will work closely with the Director, Advanced Analytics & Modeling to conduct analytics and report back findings in a clear and structured manner.

Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff,



and instilling a customer-centric view of analysis within the organization.

Is this role right for you? In this role you will:

- Collaborate with stakeholders in identifying opportunities for leveraging data and use of ML algorithms to develop innovative solutions and solve complex business problems
- Design, develop, and implement end-to-end machine learning production pipelines (data exploration, cleaning, feature engineering, model building, and performance evaluation) and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.
- Present and depict the rationale of findings in easy to understand terms for the business or senior management.
- Support analytical use-case delivery, as well as customer/financial benefits tracking and communication
- Apply statistical, analytical and programming skills to analyze and interpret large data sets and communicate results and methodologies to business clients and senior members of the analytics team.
- Prepare detailed documentation to outline data sources, models and algorithms used
- Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank.
- Collaborate with Data engineering team to implement and manage MLOps best practices, establishing continuous integration,



continuous delivery, and model monitoring pipelines to ensure reliability and performance in production.
- Be an integral part of the Advanced Analytics community for incubating ideas and use case acceleration in all business lines through advisory, training and scalable solutions
- Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
- Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
- Provide strong leadership and mentoring to junior data scientists and motivate both individual and team performance and foster a commitment to the Bank’s objectives.
- Ensure that the Bank has the capabilities and skill sets to compete develop a competitive advantage in analytics over other financial institutions

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have

- University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.
- Excellent understanding of Machine Learning algorithms for forecasting, predictions, segmentation.
- Solid analytical skills. Must be comfortable working with large amounts of information in cloud environment and translating data into clear and concise findings.
- Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
- Strong Python and SQL (BigQuery/M

📌 Senior Data Scientist (Canada)
🏢 Scotiabank
📍 Canada