Senior AI Scientist, Marketing Science Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose 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.

Responsibilities - Advanced Analytics & AI Modelling: 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.

- AI, Intelligent Automation & Agent‑Based Decisioning: 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.
- Marketing Optimization & Decision Science: 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.
- Data & AI Product Development: 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.
- Client & Economic Insights: Champion a deep understanding of banking economics; lead 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.
- Audience Strategy & Personalisation: Develop advanced segmentation, targeting, and lookalike modelling capabilities to support audience activation across digital and paid media channels; enable personalisation strategies and next‑best‑action decisioning through machine learning and behavioural analytics.
- Stakeholder Collaboration & Influence: 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.
- Innovation & Thought Leadership: 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.





Qualifications - 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. Technical & Analytical Skills - Expert knowledge of advanced statistical methods and marketing measurement techniques.
- Strong familiarity with BI and data visualisation 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. Leadership & Communication - 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.
- Solid collaborative skills, with experience guiding technical roadmaps and partnering effectively with engineering and business teams.

Working Conditions - Work in a standard office‑based environment; role based in Toronto office.

Location

Toronto, Ontario, Canada

📌 Senior AI Scientist, Marketing Science (Toronto)
🏢 Scotiabank
📍 Toronto