What are the responsibilities and job description for the Decision Science Analyst position at Berkley?
Company Details
At Berkley Entertainment, we have over 25 years of underwriting risks in Entertainment & Sports. Our one focus is entertainment insurance. We bring our decades of entertainment experience together to go beyond the basics, providing crafted coverage solutions to protect our clients.
Our team’s industry experience and collaborative approach leads to great client solutions — and this is by design. We are here to assist with customizing products and services that are tailored to respond to each client’s unique exposures.
Responsibilities
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.
- 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
- Bachelor’s degree with emphasis in Computer Science, Computer Information Systems or equivalent work experience
Qualifications
- 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.
- Exposure to RAG / MCP, preferred
- Experience with machine learning models, including training, validation, and deployment, preferred
- Exposure to MLOps and model lifecycle management, preferred
Additional Company Details
The Company is an equal employment opportunity employer. We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full time regular employees. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.Sponsorship Details
Sponsorship not Offered for this Role