Risevoic
Decision Scientist Analyst
Company : Nautilus Insurance Company
Location : Irving, TX, 75039
Job Type : Full Time / Part Time
Date Posted : 7 January 2026
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 RoleRelated Jobs
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Frequently asked questions
Irving, TX hosts a growing tech and insurance hub, increasing demand for Decision Scientist Analysts, especially those proficient with Power BI and Azure AI. While competition is rising, candidates with experience in machine learning and LLM integration have a distinct advantage in securing positions here.
At Nautilus Insurance, blending entertainment insurance risk with advanced data science demands agility. Analysts must navigate complex datasets from underwriting and claims, applying predictive models while collaborating cross-functionally, making adaptability and communication key to overcoming these specialized industry challenges.
Focusing on proficiency in Power BI for visualization, Azure AI and Databricks for scalable data pipelines, alongside SQL and Python or R for statistical analyses, will showcase your readiness. Additionally, experience with LLM integrations and machine learning lifecycle management can position you as a top candidate.
Starting as a Decision Scientist Analyst opens pathways toward senior analytics, data science leadership, or specialized AI roles. Gaining expertise in machine learning deployment and MLOps can accelerate advancement, especially in sectors like insurance where data-driven decision-making is critical.
Yes, the role involves leveraging Azure AI and integrating large language models into workflows, positioning analysts at the forefront of AI adoption in insurance. This hands-on experience with scalable AI solutions is a distinctive feature of the position at Nautilus.
Nautilus emphasizes a collaborative environment, blending decades of entertainment insurance expertise with data innovation. Expect a hybrid work arrangement supporting flexibility, along with a strong focus on cross-departmental teamwork to craft tailored client solutions.
Certifications in data analytics, Azure AI, and machine learning can enhance prospects locally. Given Irving’s tech ecosystem, credentials like Microsoft Certified: Azure Data Scientist Associate or certifications in Power BI are highly valued among employers.
Decision Scientist Analysts in Irving typically earn between $85,000 and $110,000 annually, reflecting the city's competitive insurance and tech sectors. This range aligns closely with national averages for mid-level data science roles, adjusted for cost of living and industry specialization.
A Decision Scientist Analyst focuses more on actionable business insights and collaborative decision-making, often bridging technical analysis with strategic influence. This contrasts with traditional Data Scientist roles that may emphasize algorithm development or experimental research.
Nautilus offers a niche blend of entertainment insurance expertise and advanced AI tools like LLMs and Azure integration, creating a unique environment where analysts impact underwriting and claims through specialized data science, unlike more generic analytics roles.