Data Scientist (rbc)

Job Description

What is the opportunity?

In this role as a Data Scientist you will analyze, design and implement data science/machine learning solutions using RBC’s enterprise suite of analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.

What will you do?

• Analyze data using statistical, machine learning and analytics techniques to solve complex problems, discover insights and identify business opportunities.

• Build statistical and machine learning models to test business hypotheses.

• Collaborate with business partners to produce insights from business-defined requirements and hypotheses

• Quickly learn new methods, tools and technologies presented in research communities to implement, adapt and innovate

• Effectively communicate findings to business partners and executives.

What do you need to succeed?

Must-have:

• Degree in Engineering, Statistics, Mathematics, Computer Science, Economics.

• 1+ year of experience in end-to-end data pipelines.

• 1+ year of experience in machine learning, predictive analytics, and statistical modeling.

• Competent with programing in Python and SQL. Some experience in R is a nice-to-have.

• Excellent analytical, problem solving, time management and organizational skills.

• Demonstrated understanding of data science and engineering best practices in development, integration testing, version control, continuous integration and deployment

• Experience in visualization tools such as Tableau.

• Familiar with data extract, transform, and load processes with a variety of data types.

• Strong understanding of relational databases and data structures.

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Nice to have:

• Competent in a range of data tools (Sagemaker, Dataiku, Google Cloud Platform).

• Experience in scripting languages and data visualization.

• Familiar with a Linux environment and shell scripting.

• Banking experience.

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 thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Flexible work/life balance options

• Opportunities to do challenging work

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Job Skills

Applied Machine Learning, Big Data Management, Commercial Acumen, Data Mining, Data Science, Data Science for Banking, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Python Automation

Additional Job Details

BAY WELLINGTON TOWER, 181 BAY ST:TORONTOTORONTOCanada37.5Full timeSTRATEGY AND ADMINISTRATIONRegularSalaried2024-02-082024-02-26