Contribute to analytical solutions, predictive models, recommendation and decisioning approaches that improve servicing experiences, personalization, colleague effectiveness, and operational outcomes.
Explore and analyze customer, behavioral, interaction, and operational datasets to identify patterns and opportunities, engineer features, test hypotheses, and translate findings into actionable insights and solutions.
AI / GenAI & Experimentation
Develop and evaluate machine learning and GenAI solutions using established modeling, experimentation, and validation techniques, with guidance as needed.
Gain hands-on experience and contribute to emerging capabilities such as Agentic AI and agentic workflows, transformer-based recommendation systems, Conversational AI/LLM applications, and advanced personalization or next-best-action solutions.
Support the design and analysis of experiments and performance measurements to assess model/AI quality, business impact, and opportunities for improvement.
Implementation & Partnership
Write high-quality analytical code and work with data, Technology, and platform partners to support implementation, productionization, monitoring, and enhancement of Decision Science solutions.
Build effective cross-functional relationships, communicate analytical findings clearly, and translate technical results into insights and recommendations.
Innovation & Technical Growth
Build knowledge of advances in machine learning, GenAI, recommendation systems, and decision intelligence; test relevant methods and contribute to reusable approaches a
