Manager, Next Best Action Measurement & Analytics

RBC

Toronto

On-site

CAD 110,000 - 150,000

Full time

10 days ago

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Job summary

RBC in Toronto is seeking a Data Scientist to translate analytics into actionable marketing insights for personal banking. You will design experiments, build scalable data pipelines, and collaborate with cross‑functional teams to improve client experiences.

The role requires 2+ years in data science, statistics or related field, with Python, PySpark, SQL, GitHub, and marketing analytics experience. Onsite four days a week in Toronto.

Qualifications

  • 2+ years of experience in data science and analytics.
  • Advanced academic background in Data Science, Statistics, Mathematics, or a related field.
  • Experience with GitHub, version control, and collaboration workflows.

Responsibilities

  • Translate insights from experiments into clear, actionable guidance for strategy and campaigns.
  • Develop data science strategy and modernize experimentation toolkits; build scalable data pipelines for KPI automation.
  • Collaborate with Lines of Business, Data & Analytics, Technology, Digital, and Marketing to embed experimentation end-to-end and document findings.

Skills

Data Science
Analytics
GitHub
Python
PySpark
SQL
AB Testing
Causal Inference
Marketing Analytics
Big Data

Education

Advanced degree in Data Science
Statistics/Mathematics

Tools

Airflow

Job description

Job Description
What is the opportunity?

Next Best Action (NBA) is a specialized group within RBC Personal Banking that combines, data, marketing, advanced analytics & AI to bring hyper personalization to all RBC clients across all client touchpoints. By leveraging RBC’s large data scale, artificial intelligence (AI), privileged loyalty program and partnerships, NBA has the ambition to bring the best of RBC to help clients achieve their financial goals, tailoring the experience for every client such that the message is perfectly timed, presented in path and personalized for that specific client need. Embedded across Lines of Business and aligned with marketing, digital, and product teams, NBA is critical to deepening client relationships, increasing engagement, and enhancing how we show up for clients daily. NBA is foundational in RBC’s Personal Banking strategy to deliver more value for all Canadians through simpler experiences, more thoughtful recommendations, and more holistic support. The team directly contributes to RBC’s ambition to Win for Tomorrow by enabling hyper-personalized journeys that are scalable, measurable, and powered by leading-edge analytics and AI innovation.

This role works in the office 4 days a week.

What will you do?
  • Insights translation - Design, execute, and evaluate enterprise-level marketing experiments in personal banking across channels and client segments; translate complex test results into clear, actionable insights that influence strategy and campaign performance.
  • Data science - Develop data science strategy for the team to adopt and modernize experimentation toolkits (causal modelling, treatment effect modelling); create scalable data pipelines for analytical-ready datasets to automate KPI calculations.
  • Collaboration - Partner across Lines of Business, Data & Analytics, Technology, Digital, and Marketing to embed experimentation into the end-to-end campaign lifecycle; present findings to leadership and maintain documentation, Github repositories, data security compliance, and best practices.
What do you need to succeed?
Must Have:
  • 2+ Years of Experience in Data Science and Analytics
  • An advanced academic background in Data Science, Statistics, Mathematics, or a related field.
  • Manage code version control, peer reviews, and collaboration workflows for all data infrastructure using GitHub.
  • Knowledge of advanced testing methodologies (e.g., A/B testing. Bayesian methods, CMAB).
  • Advance Knowledge in Statistics & Causal Inference (e.g. hypothesis testing, power analysis, ANOVA, variance reduction, sampling techniques)
  • Advance Knowledge in marketing related machine learnings (e.g. classification, regression, ranking, uplift)
  • Programming experience with large databases/datasets (using tools such as Python, PySpark & SQL).
  • Experience in designing and evaluating marketing experiments and interpreting results to drive business impact.
  • Business acumen and understanding of enterprise marketing strategy and Banking products.
Nice to Have:
  • Design, build, and deploy robust data pipelines and directed acyclic graphs (DAGs) using Apache Airflow.
  • An MBA in marketing is an asset.
  • Experience in financial services, digital marketing, or large-scale client engagement programs
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.

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

Big Data, Business Insights, Campaign Measurement, Executive Presenting, GitHub, Marketing Analytics, Microsoft Excel, PySpark, Python (Programming Language), Structured Query Language (SQL)

Additional Job Details
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:

2026-08-25

Application Deadline:

2026-09-08

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.

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