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Posted: 
2021-09-23
Job Type: 
Internship
Employment length: 
Permanent
Language requirements: 
English
Education requirements: 
Bachelor’s degree
Job experience: 
1 year to less than 2 years
Job industry: 
Banking
Job Location: 
Toronto

During the course of the work term you agree that you will be working from a remote / home office location, in Canada (unless otherwise noted as an essential worker) in accordance with any applicable RBC policy.  You confirm that you have the capability to work from a remote / home location in Canada.  Your direct manager will review and approve any details related to your remote work arrangement.

 

What is the opportunity?

You will play a key role in CBO (Canadian Banking Operations) Data & Analytics COE to support a number of strategic priorities which advance data analytics and governance capability in Operations. The role will lead and participate in a number of initiatives to work with our key business and enterprise partners to analyze large data sets, create/scale data science models and support data pipelines for prioritized use cases.

 

What will you do?

  • Work with large data sets (both structured and unstructured) across multiple source systems for extraction, processing, exploration and analysis
  • Supporting engineering of data pipelines end to end to support prioritized business insight use cases
  • Build and apply advanced statistical and deep learning models (data mining, forecasting, supervised machine learning, natural language processing etc.) as appropriate to test business hypotheses and built data products
  • Data storage management. Gather, combine and aggregate data from different data sources into Cloud and standardized CBO data storage.

 

What do you need to succeed?

Must-have

  • Experience with Python, SQL programming
  • Strong data profiling, cleaning, and mining skills. Ability to perform complex data analysis on large volumes of data and present findings to stakeholders.
  • Strong communication skills both written and verbal

 

Nice-to-have

  • Experience with Hadoop Data Lake, Datameer
  • Experience with Tensorflow or PyTorch
  • Relevant Cloud certification
  • Experience in business ops centers or national office functions around forecasting and capacity planning

OAA2022

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