Data Scientist

This Data Scientist role serves as a strategic data and AI evangelist who bridges technical capabilities with business value by collaborating with diverse stakeholders to translate complex challenges into actionable predictive models. This successful candidate will work in a team that owns the end-to-end data science lifecycle, from hypothesis formulation through model deployment and monitoring in production, while ensuring adherence to governance standards and software engineering best practices.

RBC’s expectation is that all employees and contractors will work in the office with some flexibility to work up to 1 day per week remotely, depending on working arrangements.

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• To be considered a blend of data and AI “evangelist,” “data guru” and “fixer” and promote the available data/AI capabilities and expertise to technology and business unit leaders.
  
• Collaborate with varied stakeholders within the organization; particularly with machine learning engineers, data engineers, business stakeholders, data architects, and general technology teams to refine and develop requirements for various data and AI initiatives.
  
• Formulate business problems as a research question with associated quantifiable objectives (e.g. hypotheses, model performance) and determine what data is needed to validate hypotheses and/or develop predictive/prescriptive models.
  
• Identify and collect data in multiple structured/unstructured formats.
  
• Ensure hypotheses/models to be tested are aligned with business value and explain and justify model assumptions and parameters.
  
• Support deploying and monitoring of a validated model in an existing production environment.
  
• Visualize data and extract insights to present a ‘story’ of data in a meaningful way
  
• Understand what communication is required for internal and external stakeholders and use it accordingly; such as translating technical concepts into non-technical language.
  
• Be responsible/take ownership of the tasks allocated to them and keeping the team and the stakeholders up to date on any progress or blockers on the deliverables.
  
• Ensure the data science team adheres to software engineering and software design principles, as well as generally maintain their own high standard of technical excellence. This includes supporting in the management of projects and code review responsibilities.
  
• Ensure that consumers use the data/models provisioned to them responsibly through data governance and compliance initiatives.
  
• Comply with any reasonable instructions or regulations issued by the Company from time to time including those set out in the terms of the dealing and other manuals, including staff handbooks and all other group policies.
  

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• Proven experience developing and deploying machine learning models into production.
  
• Proven experience working in cross-functional teams on data products and collaborating with business stakeholders in support of a departmental and/or multi-departmental data initiatives.
  
• Degree level (MSc or PhD) qualifications or equivalent experience in computer science, statistics, applied mathematics, data management, information systems, information science, machine learning, or a related quantitative field.
  
• Adept in agile methodologies and capable of applying DevOps and MLOps principles to improve the communication, integration, reuse and automation of code across an organization.
  
• Some experience working with data governance/data quality and data security teams and specifically information stewards and privacy and security officers in moving machine learning pipelines into production with appropriate data quality, governance, security standards, and certification.
  
• Exposure to cloud data platforms.
  

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• Experience working with business intelligence and analytics teams who use popular data discovery, analytics, and BI software tools like PowerBI, Tableau, Qlik and others for semantic-layer-based data discovery.
  

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.

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• Leaders who support your development through coaching and managing opportunities.
  
• Opportunities to work with the best in the field.
  
• Ability to make a difference and lasting impact.
  
• Work in a dynamic, collaborative, progressive, and high-performing team.
  

RBC Group does not accept agency resumés. Please do not forward resumés to our employees, nor any other company location. RBC Group only pay fees to agencies where they have entered into a prior agreement to do so and in any event do not pay fees related to unsolicited resumés. Please contact the Recruitment function for additional details.

Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning, Predictive Analytics, Programming Languages

Address: 12 SMITHFIELD STREET: LONDON

City: London

Country: United Kingdom

Work hours/week: 35

Employment Type: Full time

Platform: WEALTH MANAGEMENT

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-11-10

Application Deadline: 2025-11-25

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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.