Data Science Intern (Year-Round) at Schnuck… · St Louis

Summary: Schnuck Markets, Inc. is offering a Data Science Internship designed to fast track your professional career. As a Data Science Intern, you will work alongside experts to solve real-world business problems using Machine Learning and Generative AI, while gaining hands-on experience with various technical tools. Responsibilities: - Model Development: Build and deploy machine learning models to identify actionable business insights - Advanced Analytics: Conduct predictive data mining and assist in the automation of complex work streams - Tech Stack Integration: Gain hands-on experience with Google Cloud Platform (GCP), BigQuery, and Gemini AI - Professional Presence: Refine your communication skills through bi-weekly presentations to the Data Science department - Change Management: Support the team in training and automation initiatives to drive business value Required Qualifications: - Must be a Master's or PhD student in Data Science, Data Analytics, Computer Science, Statistics, or Mathematics or a related field - Expected graduation date of Dec 2026 or later - Available for full-time work (40 hours per week) in Summer 2026 and part-time work (20 hours per week) in the Fall 2026 semester - Proficiency in Python or R, and strong SQL skills - Solid understanding of data science workflows and machine learning algorithms - Familiarity with cloud environments (GCP preferred) and an interest in Large Language Model (LLM) applications - Ability to translate complex technical findings into business insights for non-technical stakeholders - High attention to detail and a self-motivated drive to learn - Excellent verbal and written communication - Strong organizational skills with the ability to manage multiple priorities Required Skills: Python, SQL, Machine Learning Important Skills: Google Cloud Platform, Data Science Workflows Nice-to-Have Skills: Communication Skills, Attention to Detail, Organizational Skills Benefits: Direct Mentorship: You will be paired with one or more dedicated mentors for personalized guidance., Collaboration: Work in a cohort-based model alongside other interns and data scientists., Career Pathing: We are specifically looking for candidates interested in a long-term career in data science post-graduation.