IS Internship

C&S Wholesale Grocers, LLC

Location: Edison, NJ (Hybrid)

Duration: 12-week internship (May to August)

About the Role

This internship offers hands-on experience in the wholesale grocery industry, contributing to meaningful projects and understanding the operations of a large privately held company. The program focuses on experiential learning, allowing interns to apply classroom knowledge, develop professional connections, and learn about different business areas.

Key Responsibilities

• Assist in daily operations and administrative tasks.
• Support the preparation of presentations, reports, and documentation.
• Collaborate with team members to improve processes and enhance efficiency.
• Attend meetings, take notes, and contribute ideas.
• Aid in enhancing department tools, templates, and methodologies.
• Gain exposure to and knowledge of department functions.
• Develop professional relationships across departments.
• Complete special projects as assigned.
• Deliver an end-of-internship presentation showcasing completed learning objectives.

Data Analytics Intern Specifics

• Work within the Data Analytics function of the Enterprise Data & Innovation team.
• Support reporting and insights innovation by applying statistics and data science to analytics modernization.
• Assist in automating, streamlining, and standardizing analytics solutions.
• Analyze large retail, wholesale, and supply chain datasets using GCP BigQuery, SQL, and Python (pandas, NumPy, statsmodels, matplotlib).
• Build reports and dashboards in Power BI and Excel.
• Use version control (Git/GitHub) and notebook environments (Jupyter, Google Colab) for documentation.
• Explore generative AI tools (e.g., Gemini) to accelerate data analysis.
• Collaborate with data engineers, data scientists, Business Intelligence and IS functional teams, and business analytics teams.

Data Science Intern Specifics

• Work within the Artificial Intelligence / Machine Learning function of the Enterprise Data & Innovation team.
• Assist in building, training, and testing machine learning models for problems such as demand forecasting, pricing, and supply chain optimization.
• Conduct data cleaning, preprocessing, feature engineering, and exploratory analysis using Python (pandas, NumPy, scikit-learn, XGBoost) and SQL.
• Build and evaluate models in GCP Vertex AI (Workbench, Pipelines, Model Registry) and BigQuery ML.
• Support deployment using Cloud Run and large-scale data processing with Dataproc (PySpark).
• Explore generative AI and LLM tools (e.g., Gemini on Vertex AI, retrieval-augmented generation) for AI-assisted analytics use cases.
• Use version control (Git/GitHub) and notebook environments (Jupyter, Colab) for reproducible work.
• Collaborate with data engineers, senior data scientists, and BI / Data Analytics teams.

Requirements & Tech Stack

• Excel (required)
• SQL (required)
• Python (required)
• GCP BigQuery
• Power BI (preferred)
• Google's suite of products (preferred)
• Git/GitHub
• Jupyter / Google Colab
• Generative AI tools (e.g., Gemini)
• scikit-learn
• XGBoost
• GCP Vertex AI
• BigQuery ML
• Cloud Run
• Dataproc (PySpark)

Qualifications

• Currently pursuing a Bachelor’s degree at an accredited university.
• In good academic standing with a GPA of 3.0 or better.
• Sophomore, Junior, or Senior standing at the time of the internship.
• Majoring in Statistics, Data Analytics, Data Science, or a related quantitative field.
• Strong written and verbal communicator.
• Able to think creatively and solve problems.
• Able to work both collaboratively and independently.
• Organized and detail-oriented.

Additional Information

• Paid Internship.
• Meaningful, hands-on work experience tied to your course of study.
• Opportunities for professional development.
• Dedicated mentor and buddy support.
• Social events and team building activities.
• Networking opportunities with managers and leaders.