Data Scientist

Résumé du poste

The Data Scientist will design, develop, and deploy machine learning models to solve complex business challenges within the commercial banking portfolio. They will also collaborate with cross-functional teams to translate business requirements into actionable insights through data analysis and visualization.

Détails du poste

Job Description WHAT IS THE OPPORTUNITY? Our clients are unique and their digital banking experience should be one-of-a-kind. RBC commercial credit products and services strive to empower our clients when they interact with us. Our team is designed to deliver products throughout the client’s journey, not projects; each lab is setup for agility and continuous delivery. We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve complex business challenges. In this role, you will design, develop, and deploy machine learning models and analytical solutions that drive innovation and strategic decision-making across the organization. You’ll be working to develop new and extend existing applications in the RBC Commercial and Small business portfolio. WHAT WILL YOU DO? Analyze large datasets to identify trends, patterns, and opportunities for business improvement. Develop and implement machine learning models and algorithms to address specific business problems. Collaborate with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate requirements into actionable insights. Communicate findings and recommendations to both technical and non-technical audiences through clear visualizations and reports. Ensure data quality, integrity, and compliance with RBC’s data governance standards. Stay updated on emerging technologies and industry trends to continuously improve analytical capabilities. WHAT DO YOU NEED TO SUCCEED? Must have: Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or a related field. 3+ years in data science, machine learning, or a similar role. Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Strong problem-solving abilities, statistical knowledge, and experience with data visualization tools (e.g., Tableau, Power BI). Nice-to-have: Experience with cloud platforms (AWS, Azure, GCP) is an asset. Excellent communication, teamwork, and ability to explain complex concepts to diverse audiences. 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 A world-class training program in financial services Flexible work/life balance options Opportunities to do challenging work #LI-POST #TechPJ Job Skills Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language) Additional Job Details Address: WATERPARK PLACE, 20 BAY ST:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-09-18 Application Deadline: 2026-09-22 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Ce que vous ferez

The Data Scientist will design, develop, and deploy machine learning models to solve complex business challenges within the commercial banking portfolio. They will also collaborate with cross-functional teams to translate business requirements into actionable insights through data analysis and visualization.

Exigences

Candidates must hold a bachelor's or master's degree in a quantitative field and possess at least 3 years of experience in data science or machine learning. Proficiency in Python, R, SQL, and machine learning frameworks is required, along with strong problem-solving and communication skills.

Avantages

• Bonuses • Flexible benefits • Competitive compensation • Commissions • Stock options • World-class training program • Flexible work/life balance options

Compétences indiquées

• Visualisation de données · Souhaitée
• Power BI · Souhaitée
• Travail d’équipe · Souhaitée
• SQL · Souhaitée
• Tableau · Souhaitée
• Résolution de problèmes · Souhaitée
• Apprentissage automatique · Souhaitée
• Communication · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data science
• Machine learning
• Python
• R
• SQL
• Scikit-learn
• TensorFlow
• PyTorch
• Tableau
• Power BI
• Data visualization
• Statistical analysis
• Data governance
• Problem-solving
• Communication
• Teamwork
• SQL (Programming Language)
• Data Visualization
• Management
• Operations
• Problem Solving
• Business Problems
• Decision Making
• Innovation
• Algorithms
• Data Science
• Machine Learning
• Amazon Web Services
• Financial Services
• Data Quality
• Coaching
• Python (Programming Language)
• Microsoft Azure
• Data Governance
• Computer Science
• Emerging Technologies
• Programming Languages
• Mathematics
• Strategic Decision Making
• Natural Language Processing (NLP)
• Predictive Analytics
• R (Programming Language)
• PyTorch (Machine Learning Library)
• Machine Learning Frameworks
• Statistics
• Digital Banking
• Tableau (Business Intelligence Software)
• Workplace Inclusivity
• Scikit-Learn (Python Package)
• Continuous Delivery

Domaines d’emploi

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Consulting
• Data Scientist
• Systems Analysts
• Data Scientists