Overview
Hybrid
$100,000 - $130,000
Full Time
Skills
SQL
Data Management
Underwriting
Insurance
LLM
Large Language Models
AI Driven Automation Solutions
Predictive Models
NLP
Cloud Platforms
Job Details
We are seeking an experienced AI Data Specialist/Analyst to join a leading global insurance company. The ideal candidate will have a strong background in both artificial intelligence and insurance underwriting, with the ability to bridge technical innovation and business needs.
FT, Direct-Hire
Hybrid in CT, located right next to the train station
Experience with underwriting, AI driven automation solutions, LLM, SQL, cloud platforms, predictive models, data management, NLP
Key Responsibilities
- AI-Powered Underwriting Automation:
- Develop and implement AI-driven automation solutions to streamline manual underwriting processes, including data collection, compliance checks, and preliminary risk assessments.
- Vendor Data Analysis & Integration:
- Analyze and integrate external vendor data to enhance underwriting models and support data-driven decision-making.
- Data Science & Advanced Analytics:
- Leverage AI and machine learning to uncover insights, predict market trends, and optimize product offerings.
- Stakeholder Collaboration:
- Partner with underwriting, technical, and business teams to identify needs, define AI solutions, and support deployment of enterprise AI tools.
- Model Performance & Optimization:
- Monitor and refine AI models and workflows to ensure accuracy, efficiency, and continuous improvement.
- AI Governance & Ethics:
- Contribute to the development and enforcement of ethical and regulatory standards for AI in underwriting, ensuring transparency and fairness.
- Business Process Improvement:
- Identify opportunities for process optimization through AI-driven automation and operational enhancements.
Required Skills & Experience
- Industry Knowledge:
- 5 7 years of experience in the insurance industry
- Deep understanding of underwriting, claims, and risk assessment workflows
- Familiarity with insurance regulations and legal compliance for AI implementation
- AI & Technical Expertise:
- Minimum 1 year of hands-on experience working with AI technologies
- Experience with large language models (LLMs) and generative AI tools
- Exposure to Natural Language Processing (NLP) for analyzing unstructured insurance data
- Proficiency in Python and SQL (preferred)
- Experience with cloud platforms such as AWS or Google Cloud Platform (preferred)
- Analytical & Business Skills:
- Strong analytical, statistical, and data management capabilities
- Ability to design and deploy predictive models
- Skill in translating business needs into technical solutions
- Experience working in agile environments to develop AI-enhanced workflows
Nice to Have
- Experience with customer-facing AI solutions or enterprise AI tools
- Background in business process re-engineering or digital transformation
- Familiarity with data privacy and model interpretability frameworks in insurance
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.