Data Scientist, Digital Banking

Requisition ID: 24766

 

We are committed to investing in our employees and helping you continue your career at Scotiabank.

Scotiabank’s Decision Sciences team has a single, clear mandate – to build the next generation of analytics products by identifying, collecting, and analyzing data to distill actionable insights. With a startup like culture and an agile approach, the team focuses on rapid development and integration of analytics into all facets of the bank’s work. At an organizational level, the team sits within Scotiabank’s Digital Banking organization which focuses on reimagining the experience of our customers for the digital age.

 

Is this role right for you?

  • You’ll collaborate with stakeholders and identify opportunities to drive business value by leveraging Artificial Intelligence and Machine Learning
  • You’ll ingest massive volumes of structured and unstructured format data, model, transform and store it in a variety of data stores
  • You’ll get to leverage distributed computing, machine learning and AI techniques for analysis, data mining and modeling
  • You’ll help build scalable, RESTful micro-services to surface analytics results for stakeholders
  • You’ll get to create scalable and verifiable testing strategies at model, data and application level
  • You’ll prepare detailed documentation to outline data sources, models and algorithms used and developed
  • You’ll need to simplify consumption of ML insights for stakeholders by integrating into existing front ends or build per need

 

Do you have the skills that will enable you to succeed in this role?

  • You have strong programming fundamentals and knowledge of Python
  • You have hands-on experience with SQL and data stores, preferably also with non-relational data
  • You have proven success cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
  • We’re looking for someone who also has front-end development experience in Django, React.js, Node.js or others.
  • It would be cool if you have experience with machine learning frameworks and libraries (E.g. scikit-learn, tensorflow)

 

What’s in it for you?

  • The opportunity to make an impact in the digital transformation of Scotiabank
  • You’ll work with a seasoned product group with well-established business owners, which provides an opportunity to gain new knowledge, build innovative products and make an impact
  • 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. 

 

We thank all candidates; however, only those candidates selected for an interview will be contacted.

Location(s):  Canada : Ontario : Toronto

As Canada’s International Bank, we are a leader when it comes to inclusion. We are a diverse and global team, speaking more than 100 languages with backgrounds from more than 120 countries. 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 as seamless a recruitment experience as possible.

 

ALL POSTINGS IN [email protected] WILL REMAIN LIVE FOR A MINIMUM OF 5 DAYS.

Company
ScotiaBank
Posted
04/06/2018
Type
Full time
Location
Toronto, 08, CA