Data Science Intern (Year-Round)
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About this role
Job Description
2026 Data Science Internship
Location: St. Louis, MO (Hybrid) | Remote (Available for MO, IL, or IN residents)
Commitment: Full-time (Summer 2026) | Part-time (Fall 2026)
Intern Program Overview
Join 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 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.
Eligibility & Requirements
Education & Availability
Current 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 Skills
Programming: 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 Skills
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.
Location & Workplace Model
St. 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.