Lead Data Scientist

Job Description

What is the opportunity?

We are seeking an experienced Lead Data Scientist to join Wealth Management Technology(WMT) Data Service team. As a Lead Data Scientist, you will be responsible for leading the development and implementation of data science and machine learning solutions to drive business growth and improvement. You will work closely with cross-functional teams to identify business opportunities, design and implement data-driven solutions, and measure the impact of these solutions.

What will you do?

• Provide technical leadership for WM Data applications.
• Partner with architect to create technology roadmap
• Lead the development and implementation of data science and machine learning solutions to drive business growth and improvement
• Collaborate with business stakeholders to identify opportunities for data-driven solutions and design experiments to test hypotheses
• Develop and maintain predictive models and algorithms to drive business outcomes
• Collaborate with data engineers to design and implement data pipelines to support data science and machine learning solutions
• Stay up-to-date with emerging trends and technologies in data science and machine learning

What do you need to succeed?

Must Have

• 3+ years of experience in data science, machine learning, or a related field
• Strong expertise in machine learning, deep learning, and data engineering
• Experience with data science tools and technologies, such as Python, R, SQL, and NoSQL databases
• Excellent business communication skills – able to explain complex technical concepts to non-technical stakeholders and vice versa
• Experience with cloud-based data platforms, such as AWS or Azure

Nice-to-have:

• Knowledge of IT Standards, Methodologies, CMM & audit requirements
• Agile experience
• Prior experience with Financial institutions and the Banking Sector

What's in it for you?

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development and production day-to-day support through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work Opportunities to take on progressively greater accountabilities

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

Application Deadline:

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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