Data-AI Engineering Intern at Berkshire… · NYC…

Summary: Berkshire Hathaway GUARD Insurance Companies is a leading provider of Property & Casualty insurance products and services. They are seeking a Data-AI Engineering Intern to assist Senior Data Engineers in building and maintaining data pipelines, analytics solutions, and AI features while gaining hands-on exposure to modern data engineering practices. Responsibilities: - Assist Senior Data Engineers in building, testing, and maintaining data pipelines, analytics solutions, and AI-enabled features - Support data preparation, validation, and documentation efforts across data engineering, analytics, and AI initiatives - Contribute to the development and experimentation of AI Agents and foundational LLM-driven workflows (where approved and appropriate) - Work with structured and semi-structured data using Python and SQL to support analytics and AI use cases - Participate in cloud-based data and AI platforms, gaining hands-on exposure to modern data engineering and AI engineering practices - Collaborate with Engineers and Analysts to understand business requirements and translate them into technical solutions - Learn through shadowing, code reviews, and pair-programming, while progressively taking ownership of well-defined tasks - Document work clearly to support knowledge sharing, reproducibility, and team standards - Apply a data-driven and AI-first mindset to problem solving, experimentation, and continuous improvement Required Qualifications: - Currently pursuing a degree in Computer Science, Data Science, Software Engineering, AI/ML, or a related technical program - Strong foundational skills in: Python - Strong foundational skills in: SQL - Strong foundational skills in: Data Engineering concepts - Strong foundational skills in: Data Analytics - Strong foundational skills in: AI Engineering fundamentals, including exposure to AI Agents or LLM-based systems - Familiarity with cloud-based data or AI platforms - Demonstrated interest in applying AI-first thinking to real-world data and business problems - Strong analytical and problem-solving skills, with a willingness to learn and experiment - Ability to work effectively in a team-oriented, collaborative environment - Curiosity, initiative, and a desire to learn from experienced engineers Preferred Qualifications: - Exposure to or hands-on experience with: Anthropic Claude - Exposure to or hands-on experience with: Microsoft Fabric - Exposure to or hands-on experience with: Power BI - Academic or personal project experience involving data pipelines, analytics dashboards, or AI-driven solutions - Familiarity with basic software engineering best practices (version control, documentation, testing) Required Skills: Python, SQL, Data Engineering, Data Analytics, AI Engineering, AI Agents, LLM-based systems, Cloud-based data platforms, Analytical skills