Berkley Entertainment Insurance is seeking a Decision Science Analyst to transform raw data into actionable insights that drive strategic decisions across the organization, support data-driven initiatives, and improve operational outcomes.
Requirements
- Proficiency in data cleaning and transformation techniques.
- Strong experience with Power BI, Azure AI, and Databricks.
- Familiarity with LLM integration and prompt engineering.
- Solid understanding of statistical analysis and data visualization.
- Proficiency in SQL, and Python or R for advanced analytics.
- Exposure to RAG / MCP, preferred
- Experience with machine learning models, including training, validation, and deployment, preferred
Responsibilities
- Clean, transform, and analyze large datasets to support business decision-making.
- Develop and maintain dashboards and reports using Power BI.
- Leverage Azure AI and Databricks to build scalable data pipelines and analytical models.
- Collaborate with business units and IT teams to integrate Large Language Models (LLMs) into workflows.
- Translate complex data findings into clear, actionable insights for stakeholders across underwriting, claims, finance, and actuarial departments.
- Support experimentation and model development for predictive analytics and machine learning initiatives.
- Document processes, methodologies, and findings for transparency and reproducibility.
Other
- 3–5 years of experience in data analytics, decision science, or a related field.
- Excellent communication and storytelling skills using data.
- Exposure to MLOps and model lifecycle management, preferred
- Bachelor’s degree with emphasis in Computer Science, Computer Information Systems or equivalent work experience
- Sponsorship not Offered for this Role
