Job Description
What is the Opportunity?
This Associate Data Scientist role focuses on challenging business assumptions and collaborating with cross-functional teams to support the development of data and AI initiatives that drive better business outcomes. The position is responsible for formulating business problems into research questions, collecting and analyzing data from multiple sources, and creating meaningful model outputs for varied stakeholders. The role requires strong foundational technical skills in Python, along with effective communication abilities to translate findings into actionable insights while adhering to data governance standards and maintaining accountability for assigned deliverables.
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.
What will you do?
Challenge the business by asking the right questions and find the answers that will help generate better business results.
Collaborate with varied colleagues and stakeholders within the organization; particularly with machine learning engineers, data engineers, business stakeholders, data architects, and general technology teams to support in the refinement and development of various data and AI initiatives.
Formulate business problems as a research question with associated quantifiable objectives (e.g. hypotheses, model performance).
Identify and collect data in multiple structured/unstructured formats with low complexity.
Explore, analyse, and transform data, using appropriate programming languages, to provide outcomes for business questions.
Ensure hypotheses/models to be tested are aligned with business value and explain and justify model assumptions and parameters.
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 data/models are used 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.
What do you need to succeed?
Must-have
Proven experience developing and deploying machine learning models into production.
Proven experience developing and deploying machine learning models for use.
Experience working in cross-functional teams on data products and collaborating with stakeholders in support of a departmental and/or multi-departmental data initiatives.
Degree level qualifications or equivalent experience in computer science, statistics, applied mathematics, data management, information systems, information science, machine learning, or a related quantitative field.
Some understanding of agile methodologies and capable of applying DevOps and MLOps principles to improve the communication, integration, reuse and automation of code.
Nice-to-have
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.
Some 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.
Exposure to cloud data platforms.
What is 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.
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.
Agency NoticeRBC 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.#LI-SS2Job SkillsCritical Thinking, Data Administration, Database Structures, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Information Capture, Standard Operating Procedure (SOP), TeamworkAdditional Job Details
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:
2025-11-25Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveInclusion and Equal Opportunity EmploymentAt 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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