> Markdown version of [/jobs/ext/4577072-ai-data-science](https://www.wearedevelopers.com/jobs/ext/4577072-ai-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Data Science - **Company:** Thinking Minds, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Python (Programming Language), Standard Sql, Software Engineering, SQL Databases, Retrieval-Augmented Generation, Large Language Models, Information Technology - **Published:** November 5, 2026 - **Apply:** https://www.dice.com/job-detail/a4ba34c6-8ab4-46eb-849b-78d938085129 ## About the Role Strong curiosity about business processes and the patience to learn insurance concepts from experienced practitioners. Confidence working with messy, real-world data and translating findings into understandable recommendations. A hands-on approach to building useful applications, testing assumptions, and improving solutions through feedback. Clear communication skills and comfort collaborating with non-technical colleagues., A bachelor's degree in computer science, data science, statistics, mathematics, engineering, or a related field. Strong Python and SQL skills, comfort handling imperfect datasets, and a grounding in statistics. Demonstrable, independently built work in structured extraction or document processing, a RAG or document Q&A system, evaluation or testing of model or LLM output, or analysis and modeling using a real dataset. Ability to explain technical decisions and analytical results clearly to non-technical audiences. ### Preferred Qualifications Relevant internship or co-op experience involving applied AI, analytics, or software development. Familiarity with insurance data or an interest in learning underwriting workflows. Experience connecting analytical insights with practical applications and evaluating solution quality. ## Description Analyze submission, policy, and loss datasets to uncover insights that support underwriting decisions and risk analysis. Adapt existing AI applications to user needs and develop new capabilities when current solutions do not fit. Contribute to submission ingestion, underwriting workbenches, and automation across back-office and middle-office workflows. Use Python and SQL to prepare, investigate, and model business data. Participate in application development and infrastructure work, incorporating feedback from senior engineers. Collaborate with business stakeholders to understand requirements and maintain appropriate security and compliance standards.