Data Scientist: ML & Analytics for Banking Solutions

rbc; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Bonus program

Career development

Flexible benefits

Stock options

World-class training

Job summary

RBC in Toronto is seeking a Data Scientist to design, develop, and deploy machine learning models and analytical solutions that drive innovation in the Commercial and Small Business portfolio.

You'll analyze large datasets, collaborate with data engineers, product managers, and business stakeholders, and communicate findings with clear visualizations while ensuring data governance and quality.

Qualifications

• Bachelor's or Master's degree required in data science, CS, statistics, math, or related field.
• 3+ years of experience in data science, ML, or similar role.
• Proficiency with Python, R, SQL and ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Strong problem-solving, statistics, and data visualization skills (Tableau, Power BI).

Responsibilities

• Analyze large datasets to identify trends, patterns, and opportunities for business improvement.
• Develop and implement ML models and algorithms to address business problems.
• Collaborate with data engineers, product managers, and business stakeholders to translate requirements into insights.
• Communicate findings and recommendations to technical and non-technical audiences with clear visuals and reports.
• Ensure data quality, integrity, and governance compliance.
• Stay updated on emerging technologies and industry trends to improve analytics capabilities.

Skills

Actuarial Modeling

Big Data Management

Commercial Acumen

Data Mining

Data Science

Decision Making

Machine Learning

Natural Language Processing

Predictive Analytics

Python

Education

Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field

Tools

Python

R

SQL

Tableau

Power BI

Scikit-learn

TensorFlow

PyTorch

Job description

RBC in Toronto is seeking a Data Scientist to design, develop, and deploy machine learning models and analytical solutions that drive innovation in the Commercial and Small Business portfolio.

You'll analyze large datasets, collaborate with data engineers, product managers, and business stakeholders, and communicate findings with clear visualizations while ensuring data governance and quality.