Senior AI Scientist, Marketing Science

Scotiabank • Toronto, ON

3d • Onsite

About The Position

The Senior AI Scientist, Marketing Science provides advanced technical expertise in the development and deployment of AI/ML-driven marketing analytics capabilities across global marketing functions. Reporting to the Director, Global Advanced Analytics & Insights in Marketing, this role is responsible for the end-to-end lifecycle of AI use cases and scalable solutions that enable data-driven marketing decisions. The role sits at the intersection of AI/ML, marketing strategy, banking economics, and data engineering, translating complex data into models, insights, and AI-driven capabilities that advance best practices in marketing measurement, optimization, and personalization.

Requirements

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering.
• 8+ years of progressive experience in marketing analytics, data science, or a related quantitative field.
• Experience in the financial services or banking industry required, with a deep understanding of banking economics.
• Proven track record of developing and implementing client LTV, profitability, and/or customer segmentation models.
• Demonstrated experience developing and implementing advanced analytical models, specifically MTA, MMM, and incrementality measurement frameworks in a complex business environment.
• Experience in creating and presenting strategic recommendations to senior leadership and diverse stakeholders.
• Expert knowledge of advanced statistical methods and marketing measurement techniques.
• Strong familiarity with BI and data visualization tools (e.g., Power BI preferred).
• Experience working with large-scale data environments and cloud platforms (e.g., AWS, Azure, GCP).
• Ability to translate complex analytical findings into clear, concise, and actionable business recommendations for both technical and non-technical audiences.
• Exceptional leadership, team-building, and mentorship skills.
• Excellent written and verbal communication skills, with a proven ability to influence and persuade at all levels of an organization.
• Strong collaborative skills, with experience guiding technical roadmaps and partnering effectively with engineering and business teams.

Responsibilities

• Lead the development, implementation, and enhancement of advanced analytical and AI models, including Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), incrementality, and causal inference frameworks. Apply modern machine learning and statistical techniques to improve the robustness, automation, and explainability of marketing measurement.
• Lead the development and application of next-generation AI capabilities to transform marketing analytics and execution. Design and deploy AI-powered copilots, agent-based solutions, and workflow automation to streamline analytics processes, enhance insight generation, and improve speed-to-decision.
• Develop optimization models and decision frameworks to drive efficient allocation of marketing investment across channels. Leverage experimentation, uplift modelling, and AI to continuously improve campaign effectiveness and ROI.
• Design, build, and operationalise end-to-end machine learning pipelines, ensuring scalability and repeatability. Contribute to the development of scalable Data & AI products that can be leveraged across the enterprise, and drive standardisation and reuse of modelling frameworks and analytical capabilities.
• Champion a deep understanding of banking economics, leading the development of client Lifetime Value (LTV) and profitability models. Translate complex client, portfolio, and loyalty data into clear, actionable insights that inform marketing strategy and enhance customer value.
• Develop advanced segmentation, targeting, and lookalike modelling capabilities to support audience activation across digital and paid media channels. Enable personalization strategies and next-best-action decisioning through machine learning and behavioural analytics.
• Partner closely with marketing, product, and business stakeholders to frame analytical problems and translate insights into business actions. Communicate complex analytical outputs in a clear and concise manner to senior leadership and non-technical audiences.
• Drive innovation through experimentation, rapid prototyping, and the application of emerging AI techniques. Act as a subject matter expert in marketing science, contributing to the broader analytics community and influencing best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior