Tower Hill Insurance Group

• Develop actionable insights and recommendations in support of business objectives using in-house and external data sources • Collaborate with business and data engineering professionals for timely and reliable delivery of data solutions • Leverage deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management • Drive efficiencies and improve customer experience • Partner with business stakeholders to scope, structure, and drive analytical projects from requirements through delivery • Present findings and recommendations clearly to both technical and non-technical audiences • Source, validate, and integrate structured and unstructured data across platforms • Conduct exploratory data analysis to reveal data quality issues and identify opportunities • Analyze business trends, time series patterns, model performance, and causal relationships using advanced statistical and machine learning / deep learning methods • Design, build, and deploy machine learning / deep learning models — including NLP, computer vision, and LLM-based solutions • Create visualizations, dashboards, and reports that communicate analytical and model results to support decision-making across the organization • Own and maintain recurring analytical, reporting, and model-monitoring processes • Document data pipelines, model architecture, analytical frameworks, and deliverables for knowledge sharing across technical and non-technical teams