Decision Science Analyst
Berkley Entertainment (a Berkley Company) · Irving, TX · 5 days ago
Information TechnologyFull-time
About the Role
At Berkley Entertainment, we specialize in entertainment insurance, leveraging over 25 years of experience to provide tailored coverage solutions. Our collaborative team approach ensures customized products and services that address unique client exposures. The Decision Science Analyst is crucial in converting raw data into actionable insights, driving strategic decisions across underwriting, claims, finance, and actuarial departments.
Responsibilities
- Analyze, cleanse, and transform large datasets to support business decision-making.
- Build scalable data pipelines and analytical models using Azure AI and Databricks.
- Evaluate, implement, and integrate Large Language Models (LLMs) into business processes.
- Translate complex data findings into clear, actionable insights for stakeholders.
- Support predictive analytics and machine learning model development.
- Document analytical methodologies, data sources, processes, and findings.
- Stay updated on trends in analytics, AI, and decision science to recommend innovative solutions.
- Perform other assigned duties.
Qualifications
- Bachelor’s degree in Computer Science, Computer Information Systems, or equivalent experience.
- 1-3 years of experience in data analytics, decision science, or related field.
- Proficiency in data cleaning and transformation techniques.
- Strong experience with Azure AI and Databricks.
- Familiarity with LLM integration and prompt engineering.
- Solid understanding of statistical analysis and data visualization.
- Proficiency in SQL, Python, or R for advanced analytics.
- Excellent communication and storytelling skills using data.
- Demonstrable experience with RAG / MCP implementation.
- Preferred: Experience with machine learning models (training, validation, deployment) and MLOps.
Benefits
The company offers a competitive compensation plan and robust benefits package for full-time regular employees.