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Title:  Sr. Data Scientist Artificial Intelligence and Machine Learning


Requisition ID: 27221

Branch / Department: Decision Sciences, Analytics

Transit Number: 80754

Employee Referral Program – Potential Reward: $2,500.00 


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.

Senior Data Scientist



The AI and Machine Learning team within the Decision Sciences organization at Scotiabank is focused on a single mandate – provide scalable, easily accessible and always-on ML services to augment humans and business applications. 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.


  • Opportunity to make an impact in the digital transformation of Scotiabank, with nearly 200 years of history
  • Personalized assessment of development areas, setting up goals and training to add new skills
  • Assignment in seasoned product groups with well-established business owners, with opportunities to gain new knowledge, build innovative products and make an impact – team’s work has been presented in Scotiabank Investor relations and public conferences
  • Training and learning program with resources like books, conference attendance and networking with Subject Matter Experts
  • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs. 



Process and Technology:

  • Identify and pitch opportunities to drive business value by leveraging AI and Machine Learning across the bank
  • Articulate the solution, propose the right mix of Data Scientists and solicit support from partner teams like Data engineering and DevOps Engineering
  • Participate in a hands-on manner by setting sprint roadmap for the AI solutions, scope for him/herself and others and contributing with hands-on technical development and evaluation/testing of team members’ contributions
  • Drive the process of UAT, Deployment and Integration while working with senior technical and business leaders
  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

AI and Machine Learning:

  • Ingest massive volumes of structured and unstructured format data, model, transform and store it in variety of data stores
  • Leverage distributed computing, machine learning and AI techniques for analysis, data mining and modeling
  • Build scalable, RESTful microservices to surface analytics results for stakeholders
  • Create and deploy model and algorithm testing strategies to ensure model predictability holds
  • Prepare detailed documentation to outline data sources, models and algorithms used and developed
  • Present results to business line stakeholders and help drive real data-driven culture



  • Proven track record of building, deploying and usage of AI/ML solutions for at least 2 years
  • Appetite to remain hands-on with technical work and grow leadership skills in tandem
  • Entrepreneurial spirit with the ability to strike long term vision with tactical development and constant measurement and course correction
  • Strong programming fundamentals and knowledge of Python or equivalent (Java/Scala/R)
  • Hands-on experience with structured(SQL) and unstructured(noSQL) datastores, data object models and queries
  • Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, audio, image)
  • Knowledge of Data tools and ecosystem (e.g., Hive, Sqoop, Spark, Kafka, Tensorflow)
  • Experience with common machine Learning libraries in R, Python, Spark and Deep Learning/AI frameworks
  • Familiarity or experience with deployment mechanisms for machine learning algorithms (one of TIDAL, Docker, DC/OS, Kubernetes)
  • Experience in one or more of following considered an asset: DevOps, SaaS


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. 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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