Rbc
Personal Banking
LeadDataScientist,NextBestAction
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Scientist, Next Best Action at Rbc. Skills: Machine Learning, Data Science, AI, Python, SQL. Solve complex AI/ML problems. Analyze data”
What You'll Achieve.
Enhancing client relationships and engagement through the execution of our NBA Strategy; Drive impactful client communications; Deliver innovative, scalable solutions; Maintain RBC's leadership in AI-driven client engagement
Industry & Context.
Solve complex AI/ML problems; Problem Solving
What They're Looking For.
Must Have
Master's in computer science, Computer Engineering or similar field, 4+ years of hands-on experience applying Machine Learning, preferably in Customer Marketing initiatives, Experience in executing end-to-end machine learning lifecycle, Proficiency in Python and libraries like PySpark, TensorFlow/PyTorch, and Scikit-learn, Experience with big data ecosystems (e. g. , Hadoop/Spark) and cloud platforms (e. g. , AWS, Azure, GCP), Understanding and hands-on experience of interpretability tools (e. g. , SHAP), Proficiency in writing and understanding complex SQL queries for data manipulation and feature engineering, interpersonal and communication skills to convey technical insights to diverse audiences, Passion for ethical AI, including algorithm transparency and interpretability
Nice to Have
Experience deploying machine learning models into production using MLOps tools such as Airflow (e. g. , DAGs), MLflow, and Kubeflow, Familiarity with financial services data and regulatory compliance, Expertise in running A tests and causal inference methods
What You'll Do.
Solve complex AI/ML problems
Implement and monitor machine learning applications
and integrate large structured and unstructured datasets for model training and inference
Ensure data privacy and unbiased outcomes
and operationalize state-of-the-art machine learning models
Lead the migration of models to cloud environments
Expand the NBA System's marketing actions and machine learning capabilities
Continuously validate and improve AI model performance
Research and evaluate emerging technologies
How You'll Work.
Team & Collaboration
Collaborate with RBC internal partners to define use cases and design tailored AI solutions; Mentor junior data scientists; Foster a collaborative, high-performing team environment; Working together to deliver trusted advice; Work in a dynamic, collaborative, progressive, and high-performing team
Communication Scope
Convey technical insights to diverse audiences
Full Job Description
**_Job Description_** **What is the opportunity?** The Next Best Action (NBA) Machine Learning team of Personal Banking is seeking a seasoned, passionate and innovative Lead Data Scientist. In this role, you will lead efforts to solve complex AI/ML problems, analyze data, design solutions, and implement and monitor machine learning applications using cutting-edge tools and algorithms. Our mission is to remain at the forefront of the industry by enhancing client relationships and engagement through the execution of our NBA Strategy. To achieve this, we harness RBC’s extensive data assets and advanced AI capabilities to drive impactful client communications. **What will you do?** * Collaborate with RBC internal partners to define use cases and design tailored AI solutions that address business needs. * Prepare, parse, and integrate large structured and unstructured datasets for model training and inference while ensuring data privacy and unbiased outcomes. * Design, develop, and operationalize state-of-the-art machine learning models, including feature engineering, model deployment, monitoring, and maintenance. * Lead the migration of models to cloud environments and expand the NBA System's marketing actions and machine learning capabilities. * Continuously validate and improve AI model performance to deliver innovative, scalable solutions. * Research and evaluate emerging technologies to drive innovation and maintain RBC's leadership in AI-driven client engagement. * Mentor junior data scientists and foster a collaborative, high-performing team environment. **What do you need to succeed?** **Must-have** * Master's in computer science, Computer Engineering or similar field. * 4+ years of hands-on experience applying Machine Learning, preferably in Customer Marketing initiatives. * Experience in executing end-to-end machine learning lifecycle. * Proficiency in Python and libraries like PySpark, TensorFlow/PyTorch, and Scikit-learn. * Experience with big data ecosystems
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