Data Scientist, Summer Student 2021 Opportunities Internship

What is the opportunity?

The Data Scientist role at RBC offers the opportunity to leverage RBC’s data assets to develop innovative solutions in support of RBCs big data strategy. The position is mandated to aid RBC, as it develops next-generation applications to meet our customers’ needs. Joining the RBC team as a Data Scientist, you will have the opportunity to analyze, design and implement data solutions to assist all business customers.

What will you do?

• Utilizing the latest technologies available, designing and building data solutions to meet business needs
• Be an active contributor to not only your individual team, but to the RBC development community
• Constantly seek out better ways to do things, new tools, new technologies, new processes
• Work on transformational projects delivering new value
• Work as part of an agile team responsible for end-to-end delivery of business needs
• Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
• Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
• Promote analytics across the enterprise to enable RBC to become a data-driven organization

What do you need to succeed?

Must-have:

• Advanced programming skills in one or more of the following languages: Python or R
• Extensive experience utilizing SQL scripts/querying
• Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning
• Expert in data extract, transform, and load processes with a variety of data types
• Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

  Nice to have:

• Experience with big data technologies, primarily in machine learning and statistics function
• Exposure to Apache Spark, Hadoop and Public Cloud technologies
• Experience with big data processing tools like Spark and Hive
• GitHub functionality and workflow experience/exposure
• Experience with data serialization (JSON, Avro, Parquet, ORC)
• Experience with messaging (Kafka, Solace, RabbitMQ)
• Experience working on Agile projects

What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed. We care about each other, reaching our potential, making a difference to our communities and achieving success that is mutual. Visit people.rbc.com

Continued career advancement opportunities
Exposure to strong mentorship and leadership examples
A world-class training program in financial services
Opportunities to be a valuable member of a close-knit, collaborative team that encourages networking
A comprehensive Total Rewards Program including bonuses and flexible benefits
Competitive compensation

JOB SUMMARY

City:  Toronto
Address:  330 Front Street West
Work Hours/Week:  37.5
Work Environment:  Office
Employment Type:  [[filter7]]
Career Level:  Student Job
Pay Type:  [[jobGrade]]
Required Travel(%):  [[requiredTravel]]
Exempt/Non-Exempt:  [[exemptionStatus]]
People Manager:  [[peopleManager]]
Application Deadline:  03/14/2021
Req ID:  296336