Decision Scientist Analyst

Berkley • Irving, TX

25d • Hybrid

About The Position

Berkley Entertainment Insurance is seeking a Decision Science Analyst to join the team in their Irving Texas headquarters (hybrid office arrangement). This mid-level role will focus on transforming raw data into actionable insights that drive strategic decisions across the organization. The analyst will work closely with cross-functional teams including Underwriting, Claims, Finance, and Actuarial to support data-driven initiatives and improve operational outcomes.

Requirements

• 3–5 years of experience in data analytics, decision science, or a related field.
• 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 .
• Excellent communication and storytelling skills using data.
• Bachelor’s degree with emphasis in Computer Science, Computer Information Systems or equivalent work experience

Nice To Haves

• Exposure to RAG / MCP, preferred
• Experience with machine learning models , including training, validation, and deployment, preferred
• Exposure to MLOps and model lifecycle management, 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.
• Perform other duties as assigned

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level