Job Description
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?
- 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.
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.
Location: 12 Smithfield Street, London, United Kingdom
Work hours per week: 35
Employment type: Full time
Job type: Regular
Pay type: Salaried
Posted date: 2025‑11‑10
Application deadline: 2025‑11‑25 (Applications will be accepted until 11:59 PM the day before the deadline)
