Scotiabank

Sr. Data Scientist, Advanced Analytics

Job description

Requisition ID: 155090

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


Purpose of the job

The Senior Data Scientist role in the Customer Insights, Data & Analytics team is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities, in partnership with global teams and business lines driving innovation and advanced analytics across the Enterprise.


As part of the Advanced Analytics team, the Senior Data Scientist is responsible for developing, executing, and enhancing existing modeling frameworks with transparent use of enterprise-level data, AI/ML resources and advanced analytics in line with stakeholder priorities. The incumbent will work closely with internal business lines, data stewards and other internal stakeholders to drive business value, and recommend solutions to drive customer acquisition, retention, balance growth, crosssell/up-sell, product activation and usage. The incumbent will require a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies.


Accountabilities

  • Research, develop, and implement end-to-end machine learning production pipelines and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization.
  • 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.
  • Lead strategy design thinking with business partners and stakeholders to identify and recommend opportunities based on data-driven solutions.
  • 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 teams to deploy models and algorithms in production, across business lines and geographies
  • Foster a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
  • Present results to business line stakeholders and help implement real data-driven changes
  • 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
  • Support analytical use-case delivery, as well as customer/financial benefits tracking and communication
  • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.


Dimensions

  • Drives innovation through the development of Data & AI products that can be leveraged across the organization


Education / Experience / Other Information

  • The Senior Data Scientist role requires rigorous logical thinking, curiosity, flexibility, and great teamwork abilities. The candidate will be at the intersection of math/stats, computer science, communication, the business line and the customer. She/he will take a supporting role in agile rapid labs and strategy development to drive innovation and digital transformation throughout the Bank and Corporate
  • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering and Mathematics)
  • Production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g. cross-sell, upsell, attrition, acquisition and lookalike models)
  • Programming skills in Java, C++ or Python
  • Solid knowledge in machine Learning libraries in R, Python, Spark
  • Experience with SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)
  • Experience using visualization tools such as Tableau and Power BI would be an asset
  • Ability to ingest and work with large volumes of structured and unstructured nontraditional data
  • Working experience with machine learning and other AI techniques for strategy design
  • Working knowledge of strategy optimization leveraging operations research principles would be an asset
  • Strong collaboration skills with ability to translate technical knowledge into business value
  • Effective communication skills with ability to prepare project documentation and presentations


Working Conditions

This position works in a standard office environment. The position is primarily non-physical and does not involve travel. Standard working hours are a regular occurrence however depending on projects there could be some additional working hours required periodically.


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.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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