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Job Description What is the Opportunity? The Personal Banking Advanced Data Insights & Integration team is looking for a passionate and innovative Senior Data Scientist within our advanced data squad. As a Data Scientist you will problem solve, analyze, design, implement and monitor machine learning models and applications using state of the art tools and algorithms. We are looking to maintain our position as an industry leader in advanced digital marketing techniques (Multi-touch Attribution, Media Mix Modelling) and continue to drive strong client acquisition results. To achieve these goals, we leverage diverse data sources and a suite of domain specific machine learning models that power our client communications. What will you do? Design, build, validate and deploy advanced marketing models related to programmatic advertising platforms, product recommenders, propensity models and prospect personalization models to maximize client acquisition and efficiency. Partner with RBC internal partners and lines of businesses (Digital Marketing, Programmatic Media) to help them frame use cases and define success metrics (Key Performance Indicators). Work primarily within our AWS environment (SageMaker, S3, Redshift) to accomplish business goals Prepare, parse and integrate large and varied structured and unstructured data on AWS and on prem for model training and scoring while preserving privacy and unbiased estimates. Develop state of the art machine learning models end-to end, including feature engineering, model training, model inference, model production, model monitoring and model maintenance. Document and Validate model design and performance to ensure quality and scalability of all models Monitor model performance and business success metrics over time. Be responsible for researching new capabilities and technologies to drive innovation What do you need to succeed? Must-have Master's degree in Statistics, Mathematics, Computer Science, Economics (quantitative), or related quantitative field 2+ years experience in marketing science/data science in digital marketing, sales, eCommerce, or related field Strong foundation in statistics, probability, and machine learning (including deep learning), especially in areas like: Causal inference, regression analysis, hypothesis testing, Bayesian inference, time series forecasting, and applied machine learning in digital marketing or ecommerce domains (e.g. propensity modelling, attrition modelling, attribution, segmentation, customer valuation, behaviour analysis, etc.) Strong programming skills in python, including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, statsmodels, scikit-learn, tensorflow/pytorch, etc.) Good foundations in SQL, big data frameworks (Apache Spark, Hadoop, Hive, etc.), and AWS Cloud (SageMaker, S3, Redshift) or Azure/GCP equivalents Able to clearly convey technical concepts and results to both technical and non-technical audiences, including senior leadership Nice to have Strong knowledge machine learning application design. Experience deploying models into productions with MLOps. Experience with on device learning and modelling. Experience in running A/B testing experiments in production. Experience with relational databases. Domain specific knowledge of digital marketing/ecommerce campaigns. Experience in financial services industry with broad understanding of marketing, product management, sales, finance, pricing and risk management is preferred Publications in machine learning and artificial intelligence. Passion for ethical AI and experience in algorithm transparency and interpretability. 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 Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients Access to a variety of job opportunities across business and geographies. Job Skills A/B Testing, A/B Testing, Advertising Analytics, Applied Machine Learning, Artificial Intelligence (AI), Causal Inference, Commercial Acumen, Data Mining, Data Science, Decision Making, Deep Learning, Digital Marketing, Experimentation, Hypothesis Testing, Machine Learning, Pandas Python Library, Predictive Analytics, Predictive Modeling, PySpark, Python (Programming Language), PyTorch, Scikit-Learn, Statistical Models, Statistics, Structured Query Language (SQL) {+ 1 more} 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: 2025-09-19 Application Deadline: 2025-09-30 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above 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. 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.