Senior Associate Data Science, Marketing Analytics

What you'll do

• Own end-to-end modeling solutions by framing ambiguous problems and delivering rigorous results on tight timelines.
• Design, build, validate, and deploy advanced models for customer segmentation, digital marketing, and alert systems.
• Develop applied AI and agentic solutions using large language models and prompt engineering.
• Apply machine learning, statistical methods, and causal inference to create novel technical solutions.
• Translate complex business objectives into well-scoped modeling problems with clear success criteria.
• Serve as a technical lead by directing workstreams, prioritizing efforts, and unblocking team members.
• Communicate insights and recommendations clearly to business stakeholders, technology partners, and senior leadership.
• Mentor teammates on modeling approaches, code quality, and analytical rigor.

What we're looking for

• Undergraduate degree in a quantitative discipline or equivalent practical experience.
• Formal training or certification on data science concepts and 3+ years of applied experience.
• Strong programming skills in Python including the modern data science and machine learning ecosystem.
• Deep machine learning expertise across the full model lifecycle, including feature engineering, training, validation, deployment, and monitoring.
• Strong statistical and mathematical foundation to apply techniques to novel and ambiguous problems.
• Applied AI engineering experience with large language model-based systems, agentic solutions, and prompt engineering.
• Proficiency with SQL and data querying at scale.
• Graduate degree in a quantitative discipline (preferred); experience in financial services or retail banking (preferred).