IS Internship - Data Analytics & Data Science

Location: Edison, NJ

Position Overview

At C&S we are seeking energetic, motivated interns to join our growing organization. This is an exciting opportunity for anyone interested in gaining hands on experience in the workplace.As an Intern at C&S, you will gain real world experience through interesting, challenging and meaningful work while contributing to the bottom line. C&S is the ideal place for you to make professional connections, get hands on skills and see the latest technological tools in action. You will have the opportunity to network with other interns and C&S employees, learn about different areas of the business and develop professionally.We'll teach you how to excel across areas such as: human resources, sales, marketing, finance, procurement, information technology and operations. Ours is a culture of friendly competition, which is critical to growing our business — and your success. We believe that our people are what make our business successful. With that in mind, we have created an internship program to coach, mentor, and develop individuals through experiential learning where they can directly apply content learned in the classroom.

Job Description

Our focus is simple but meaningful, from our distribution centers to our stores and our offices — every employee of C&S/SpartanNash and their family of companies works to help feed local families, neighbors, and communities. As an Intern you will have the unique opportunity to gain hands-on experience in the wholesale grocery industry, contribute to meaningful projects, and better understand what goes into running one of the largest privately held companies in the US. You will have the opportunity to work alongside other interns and C&S employees to expand your network, participate in professional development opportunities, and enjoy some fun activities!

We're currently seeking candidates for two IS internship opportunities (Data Analytics and Data Science) in Edison, NJ (hybrid).

Data Analytics Intern

Responsibilities

Assist in daily operations and administrative tasks within the assigned department.

Support the preparation of presentations, reports, and other documentation.

Collaborate with team members to improve processes and enhance efficiency.

Attend meetings, take notes, and contribute ideas and insights.

Aid in enhancing department tools, templates, and methodologies.

Gain exposure to and knowledge of department functions.

Develop positive professional relationships across departments.

Complete special projects as assigned by your manager.

Deliver an end-of-internship presentation showcasing completed learning objectives.

Work in the Data Analytics function within the Enterprise Data & Innovation team, supporting 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), and build reports and dashboards in Power BI and Excel.

Use version control (Git/GitHub) and notebook environments (Jupyter, Google Colab) to document and share your work.

Explore generative AI tools (e.g., Gemini) to accelerate data analysis, query writing, and insight summarization.

Collaborate with data engineers, data scientists, Business Intelligence and IS functional teams, and business analytics teams in areas such as procurement, warehouse operations, HR, and Finance.

Data Science Intern

Assist in daily operations and administrative tasks within the assigned department.

Deliver an end-of-internship presentation showcasing completed learning objectives.

Work in the Artificial Intelligence / Machine Learning function within the Enterprise Data & Innovation team, assisting in building, training, and testing machine learning models for business problems such as demand forecasting, pricing, and supply chain optimization.

Conduct data cleaning, preprocessing, feature engineering, and exploratory analysis to support model development, using Python (pandas, NumPy, scikit-learn, XGBoost) and SQL.

Build and evaluate models in GCP Vertex AI (Workbench, Pipelines, Model Registry) and BigQuery ML, and 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) to prototype AI-assisted analytics use cases.

Use Git/GitHub and notebook environments (Jupyter, Colab) for reproducible, well-documented work.

Collaborate with data engineers, senior data scientists, and BI / Data Analytics teams to deliver end-to-end data solutions.

We’re searching for interns who are

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

Proficient with Excel (required)

Proficient with SQL and Python (required)

Familiar with a BI tool such as Power BI (preferred)

Familiar with Google’s suite of products and BigQuery (preferred)

A strong written and verbal communicator

Able to think creatively and solve problems

Able to work both collaboratively and independently

Organized and detail-oriented

What we offer

● Meaningful, hands on work experience tied to