Sr. Data Scientist – Next Best Action

RBC; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading financial institution in Toronto is seeking a passionate Senior Data Scientist to enhance client relationships through AI solutions. You will collaborate with internal partners, design and deploy machine learning models, and continuously improve AI performance. The ideal candidate has a Master's degree, 2+ years in machine learning, and proficiency in Python and relevant libraries. This full-time role offers an opportunity to make an impactful difference in client engagement.

Benefits

Ability to make a difference

Work in a collaborative team

Opportunities for challenging work

Qualifications

• 2+ years of hands-on experience applying Machine Learning.
• Experience in executing end-to-end machine learning lifecycle.
• Strong understanding of traditional and advanced ML algorithms.

Responsibilities

• Collaborate with internal partners to define use cases and develop AI solutions.
• Design and deploy state-of-the-art machine learning models.
• Continuously improve AI model performance.

Skills

Machine Learning for Customer Marketing

Python

TensorFlow

Scikit-learn

SQL

Interpersonal Skills

Education

Master's in Computer Science or similar

Tools

Hadoop

AWS

PyTorch

Azure

PySpark

Job description

Job Description

What is the opportunity?

The Next Best Action (NBA) Machine Learning team of Personal Banking is seeking a passionate and innovative Senior Data Scientist. In this role, you will be responsible for problem-solving, analyzing, designing, implementing and monitoring machine learning applications using cutting‑edge tools and algorithms. Our mission is to stay at the forefront of the industry by enhancing client relationships and engagement through the execution of our NBA Strategy. To achieve this, we leverage RBC’s extensive data assets and advanced AI capabilities to drive impactful and personalized client communications.

What will you do?

• Collaborate with RBC internal partners to define use cases and develop 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, fairness, and unbiased outcomes.
• Design, develop, and operationalize state‑of‑the‑art machine learning models, including feature engineering, model deployment, monitoring, and maintenance.
• Continuously validate, optimise, 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.

What do you need to succeed?

Must‑have

• Master's in Computer Science, Computer Engineering or similar field.
• 2+ years of hands‑on experience applying Machine Learning to Customer Marketing initiatives.
• Experience in executing end‑to‑end machine learning lifecycle.
• Proficiency in Python and libraries like TensorFlow, PyTorch, PySpark, and Scikit‑learn.
• Experience with big data ecosystems (e.g., Hadoop/Spark) and cloud platforms (e.g., Azure, AWS, GCP).
• Proficiency in SQL for data manipulation and querying.
• Strong understanding of traditional and advanced machine learning algorithms, performance metrics, and evaluation techniques.
• Strong 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 MLflow, Kubeflow, or Airflow (e.g., DAGs).
• Understanding and hands‑on experience of advanced machine learning methodologies including deep learning techniques (e.g., Transformers, GANs) and interpretability tools (e.g., SHAP).
• Familiarity with financial services data and regulatory compliance requirements.
• Expertise in running A/B experiments and causal inference methods.
• Experience building and optimizing Recommender Systems.

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 potentials, making a difference to our communities, and achieving success that is mutual.

• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high‑performing team
• Opportunities to do challenging work

Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: PERSONAL & COMMERCIAL BANKING

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-12-03

Application Deadline: 2025-12-18

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well‑being of our clients and communities at jobs.rbc.com.