Senior Analyst-Data Science

The Senior Analyst will drive the development and execution of data-driven strategies to improve Sales portfolio performance, working closely with senior leadership across Global Commercial Services (GCS). The position focuses on translating complex data into actionable insights that inform decision-making and support growth. The ideal candidate brings strong analytical curiosity and the ability to distill data into clear, scalable, business-relevant recommendations, combining business acumen with technical expertise. This role partners closely with Sales, Marketing, Finance, Technology, and Capabilities teams to identify opportunities, quantify risks, and prioritize high-impact initiatives. Responsibilities include developing analytical frameworks, advising leadership on performance trends, and enabling effective, data-informed decision-making across the organization.

The Senior Analyst will design, develop, and operationalize ML/AI-powered solutions to enhance client engagement and improve channel efficiency, applying advanced techniques across machine learning, NLP, and generative AI to solve business problems and unlock new growth opportunities. This is a business-facing data science role, with success measured by quantifiable impact. The environment is fast-paced and highly collaborative, requiring strong relationship skills, passion for applied data science, and a singular focus on excellence.

• Lead Data Science Projects: Design, develop, and deploy predictive and explanatory models to address key business problems using machine learning, NLP, and generative AI. Support forecasting, incentive design refinement, and detection of anomalous or gaming behaviors by translating business questions into measurable analytical frameworks

• Deliver Analytics & Insights: Generate actionable insights on Sales and client behavior to inform strategy. Apply rigorous hypothesis testing and maintain reproducible, well-documented analytical workflows

• Support GenAI Use Case Development: Contribute to the design, development, and operationalization of GenAI-enabled analytics solutions that integrate internal performance and external signals. Assist in defining success metrics, monitoring frameworks, and approaches for LLM-based feature generation on unstructured data. Support development of validation approaches (e.g., human-in-the-loop, hallucination detection)

• Build Modeling Capabilities: Develop, evaluate, and iterate models using modern ML frameworks (e.g., TensorFlow, PyTorch), with attention to performance, scalability, and interpretability