Data Science Intern (Year-Round)

Job Description2026 Data Science InternshipLocation: St. Louis, MO (Hybrid) | Remote (Available for MO, IL, or IN residents)Commitment: Full-time (Summer 2026) | Part-time (Fall 2026)Intern Program OverviewJoin a mentorship-oriented environment designed to fast track your professional career. As a Data Science Intern, you will work alongside a dedicated team of experts to solve real-world business problems using Machine Learning and Generative AI. This program offers a unique blend of technical development and business strategy, providing high-performing interns with the opportunity to be considered for full-time roles upon graduation.Key ResponsibilitiesModel 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.Eligibility & RequirementsEducation & AvailabilityCurrent Enrollment: Must be a Master's or PhD student in Data Science, Data Analytics, Computer Science, Statistics, or Mathematics or a related field.Academic Standing: Expected graduation date of Dec 2026 or later.Schedule: 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.Technical SkillsProgramming: Proficiency in Python or R, and strong SQL skills.Methodology: Solid understanding of data science workflows and machine learning algorithms.Cloud & AI: Familiarity with cloud environments (GCP preferred) and an interest in Large Language Model (LLM) applications.Communication: Ability to translate complex technical findings into business insights for non-technical stakeholders.Soft SkillsHigh 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.Location & Workplace ModelSt. Louis-based Interns: This role follows a hybrid schedule. Candidates residing in the St. Louis metropolitan area should expect to work from our central office as their schedule allows.Regional Remote: Candidates residing in MO, IL, or IN (outside of the STL metro area) are eligible for fully remote work.Why Join Us?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.Additional Requirements - Internal Candidates:Store/Facility Teammates: minimum of six months employment with Schnucks preferred.Store Support Center Teammates: minimum of one year employment with Schnucks preferred.Must be in good standing (not on a performance improvement plan or active discipline).If invited for an interview, must have manager approval based on performance.Schnucks is an Equal Opportunity Employer.

Created: 2026-04-02