Staff Data Scientist

RBC; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

A leading financial institution seeks a Staff Data Scientist to leverage data science solutions within its auditing processes. The position involves enhancing data pipelines, designing machine learning models, and collaborating on innovative tools to improve risk assessment and compliance efficiency. Ideal candidates will have advanced degrees and a strong programming background in Python, with a passion for data-driven insights.

Benefits

Comprehensive Total Rewards Program

Leadership and development opportunities

Dynamic and collaborative work environment

Opportunities for challenging work

Qualifications

• Experience in developing machine learning models using supervised and unsupervised approaches.
• Strong programming skills in Python and Pyspark.
• Ability to work cross-functionally and communicate effectively.

Responsibilities

• Design and implement end-to-end data pipelines for machine learning models.
• Collaborate with stakeholders to build solutions for risk and compliance.
• Prototype and develop generative AI tools for operational efficiency.

Skills

Analytical Thinking

Machine Learning

Data Mining

Communication

Generative AI

Statistics

Education

PhD or Master's in a quantitative field

Undergraduate degree

Tools

Python

Pyspark

Amazon Sagemaker

Job description

Job Summary

Job Description

What is the opportunity?

As a Staff Data Scientist, you will analyze, design, and implement data science solutions in the RBC Chief Audit Executive (CAE) Group. Data Science allows us to better understand the implications of what information means, identify trends, anticipate future behaviors, perform pattern matching that leads to a future decision and predict the outcomes of future events and violations. Our 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, we apply machine learning and statistical modelling techniques to help auditors understand the changing risk environment, while building tools to bring this information to their fingertips.

What will you do?

• Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods and Generative AI in the domain of risk and compliance.
• Design and implement end-to-end data pipelines: from data cleaning to model development to writing production level code.
• Implement supervised and unsupervised machine learning models, data mining methods, statistical analysis, and pipelines to prepare and integrate various data types and sources
• Quickly learn new methods, tools and technologies presented in research communities to implement and adapt within our ecosystem and models.
• Collaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutions.
• Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
• Prototype and build Generative AI tools to augment our internal processes and drive efficiencies.

What do you need to succeed?

Must Have

• At least an undergraduate degree (PhD. or Masters preferred) in a quantitative field (Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology, Psychology etc.).
• Advanced programming skills (python, pyspark) and experience in developing machine learning models using supervised and unsupervised approaches; experience with data preprocessing, feature and representation learning, anomaly/outlier detection.
• Curiosity, strong data sense, critical thinking, and technical documentation skills.
• A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others.
• Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues.

Nice to Have

• Comfortable using state of the art frameworks such as Langgraph and Llamaindex.
• Experience working within the audit and risk domains.

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
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities.

#LI-Hybrid

#LI-Post

#LI-PK

Job Skills

Actuarial Modeling, Amazon Sagemaker, Analytical Thinking, Audit Analytics, Big Data Management, Business Insights, Commercial Acumen, Communication, Data Explorations, Data Mining, Data Modeling, Data Science, Decision Making, Full Stack Development, Generative AI, Machine Learning, Natural Language Programming (NLP), Predictive Analytics, Python (Programming Language), Semantics, Statistics, Storytelling, Structured Query Language (SQL), Text Mining

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

INTERNAL AUDIT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-06

Application Deadline:

2025-06-16

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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