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Title:  Data Scientist


Requisition ID: 1900

The Digital Factory is an innovation hub with a clear and well-supported mandate to transform the way banking technology is delivered, by re-imaging the customer experience, to deliver new digital value propositions. We have the support and experience of one of the world’s largest banks behind us and a talented, and growing, team of industry leaders driving us forward.
Do you want to help us reinvent how people bank? At the Scotiabank Digital Factory, we are passionate about transforming the customer experience.

We’re looking to fill our team with influencers, makers, creators and leaders who are flexible, curious, adventurous, versatile and responsive; and who are ready to roll up their sleeves in a collaborative and productive environment to get things done.

By joining our team, you will make an impact on our customers, the banking industry, and ultimately, the world.




There has never been a better time to join Scotiabank as a Data Scientist. The Data Scientist role in the Applied Analytics team at Scotiabank is designed for individuals with a curiosity for deriving insights out of data and applying them to address business opportunities.



  • Placement in a Bootcamp to introduce candidates to the world of Data Science at Scotiabank
  • Exposure to different business lines where analytics techniques are being applied
  • Assignment in hands-on practical projects which provide an opportunity to gain new knowledge and develop skills
  • Ongoing training and learning program with resources like books, conferences and networking with Subject Matter Experts at Analytics User Groups organized by Decision Sciences
  • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs. 



  • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging Data Science
  • Ingest massive volumes of structured and unstructured format data, model, transform and store it in variety of data stores
  • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling
  • Collaborate with Data engineering and operational teams to deploy models and algorithms in production, across different channels and customer platforms
  • Create and apply model and algorithm testing strategies to measure conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
  • Prepare detailed documentation to outline data sources, models and algorithms used and developed
  • Present results to business line stakeholders and help implement real data-driven changes



  • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics)
  • Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
  • Hands-on experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Kafka) and experience with NoSQL databases (e.g., Hbase, Cassandra, Druid)
  • 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
  • Experience with common machine Learning libraries in R, Python, Spark
  • Experience with UNIX tools and shell scripting
  • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
  • Experience using and implementing visualization tools like D3, Tableau or Qlikview



Location(s):  Canada : Ontario : Toronto 



As Canada’s international bank, we are a leader when it comes to inclusion. Scotiabankers hail from over 120 countries, speak more than 100 languages and serve over 23 million customers globally. As a highly diverse company, we know that an inclusive environment for employees and customers helps everyone achieve their best. 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. Candidates selected for an interview will be contacted directly.  If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide a positive recruitment experience.

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