Senior Data Scientist

What is the Opportunity?

The Advanced Data Insights & Integration (ADII) Team of Personal Banking is looking for a passionate and innovative Senior Data Scientist within our advanced marketing pillar. 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 marketing techniques 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 marketing mix of traditional advertising media and programmatic advertising platforms to maximize client acquisition and efficiency.

• Partner with RBC internal partners and lines of businesses (Marketing, Programmatic Media, Media Planning) to help them frame use cases and define success metrics (Key Performance Indicators).

• Prepare, parse and integrate large and varied structured and unstructured data for model training while preserving privacy and unbiased estimates.

• Develop marketing mix models end-to end, including data collection, feature engineering, model training, model inference, model production (forecasting/optimizations), model monitoring and model maintenance.

• Document and Validate model design and performance to ensure quality and scalability of all models

• Develop custom optimization engines to recommend media budgets based on model outputs and spend constraints, and integrations with visualization platforms

• Collaborate effectively with stakeholders to present clear go-to-market insights for Marketing and Business teams, by understanding their challenges, and communicating in their domain-specific language

• Research new capabilities and technologies to drive innovation

• Work primarily within our AWS environment (SageMaker, S3, Redshift) to accomplish business goals

What do you need to succeed?

Must-have  

• Master's degree in Statistics, Mathematics, or related quantitative field

• 3+ years experience in marketing science/data science in digital marketing, sales, eCommerce, or related field

• Marketing domain knowledge, particularly in marketing campaigns and media buying, with a deep understanding of the purpose of paid media channels and the ability to evaluate the impact of each channel on business and marketing KPIs

• 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, propensity modelling, attrition modelling, attribution, segmentation, CLV, and behaviour analysis,

• Strong programming skills in python (preferred) or R, including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, stats models, 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.

• Experience in financial services industry with broad understanding of marketing, banking products, 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

• Flexible work/life balance options

• Opportunities to do challenging work

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Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTORONTOCanada37.5Full timePERSONAL & COMMERCIAL BANKINGRegularSalaried2025-06-192025-07-11

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.