Data Science Intern

## What You Will Do - Partner with experienced team members to understand business challenges and translate them into analytical questions. - Learn industry best practices for data preparation, exploratory analysis, feature engineering, and model development. - Gain exposure to machine learning and AI techniques including forecasting, classification, anomaly detection, and emerging generative AI applications. ## How You Will Do It - Use tools and technologies such as Python, SQL, Snowflake data lake, Copilot Studio, Open-source LLMs, Vision Language Models, Decision intelligence tools, Azure Data Factory, Matillion, Power BI and Advanced Analytics tools to support analytics initiatives. - Participate in project discussions, brainstorming sessions, and knowledge-sharing activities with both technical and business teams. - Present findings, insights, and recommendations while receiving feedback that helps strengthen your analytical and communication skills. - Attend regular mentorship and development discussions focused on professional growth, career exploration, and continuous learning. - Learn how data science projects are delivered in a business environment, from problem definition through solution implementation and measurement. ## What We Look For - Currently enrolled as a full-time student at an accredited U.S. college or university - Pursuing an undergraduate degree in Data Science. - Ability to be in the greater Milwaukee area in the summer. - Duration: Summer 2027. Up to 40 hours per week. - Working Arrangements: Hybrid internship – must have a quiet workspace away from interruptions, with the option to work in the office. Be able to maintain regular contact with the supervisor/team via virtual methods. - PLEASE NOTE that applicants must be authorized to work for any employer in the US without the need for sponsorship, now or in the future.