Senior Data Scientist

Responsibilities

• Lead the full life-cycle of Data Science solutions, from initial exploration to model deployment and monitoring
• Build and deploy production-grade AI/ML, Deep Learning, and statistical models to solve complex business problems
• Develop predictive data models, anomaly detection models, and quantitative analyses using big data sources
• Apply statistics, machine learning, and advanced mathematics to identify patterns and drive product improvements
• Implement semantic data capabilities through NLP, text mining, and machine learning techniques
• Oversee data acquisition and ingestion from structured and unstructured sources, ensuring data quality and comprehensiveness
• Partner with engineering teams to ensure best practices for ML model deployment and infrastructure

Requirements

• 5+ years of industry experience working on real-world problems
• Master or Ph.D. in a quantitative field such as Computer Science, Engineering, Mathematics, or Statistics
• Proficiency in Python, PySpark, and SQL
• Experience with AI/ML infrastructure and model deployment for Gen AI applications in production environments
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face Transformers
• Experience designing graph data models and working with graph databases (e.g., Neo4j, Amazon Neptune)
• Knowledge of cloud platforms such as Azure or AWS
• Familiarity with software engineering best practices, including version control (GIT/GitHub) and testing methods

Preferred Qualifications

• Experience architecting large-scale ML systems and MLOps workflows
• Knowledge of Reinforcement Learning and GenAI LLM models
• Experience in the AIOps domain and using IT Operation Monitoring Tools (e.g., Dynatrace, PagerDuty)
• Proficiency with data visualization tools like Tableau, Looker, or Power BI

Benefits

• Comprehensive Total Rewards Program including bonuses and flexible benefits
• Competitive compensation and opportunities for stock where applicable
• Access to world-class training programs in financial services
• Opportunities for professional development through coaching and management
• A dynamic, collaborative, and high-performing work environment

About the Company

Royal Bank of Canada (RBC) is a global financial institution with a purpose-driven approach to delivering leading performance. As Canada’s largest bank, RBC focuses on innovation and providing exceptional experiences to more than 16 million clients across the globe.