Data Science/AI Intern
About The Position
Rich’s, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers and specialty toppings, our products are used in homes, restaurants and bakeries around the world. Beyond great food, our customers also gain insights to help them stay competitive, no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice, retail, in-store bakery, deli, and prepared foods, among others. Working in 100 locations globally, with annual sales exceeding $4 billion, Rich’s is a global leader with a focus on everything that family makes possible. Rich’s®—Infinite Possibilities. One Family. The Data Science/AI Intern will collaborate with the Data, AI, and Analytics team to support real-world projects involving data exploration, modeling, and visualization. This role is designed to provide hands-on experience in applying data science techniques to solve business challenges and generate actionable insights. We are happy to consider remote candidates for this role.
Requirements
- Must be enrolled in a Data Science/AI/Machine Learning (or closely related subject) degree program and expect to be for the duration of the internship.
- Prior coursework or projects in machine learning, statistical modeling, or data visualization.
- Exposure to real-world datasets and business applications.
- Proficiency in Python, and SQL for data manipulation and analysis.
- Understanding of statistical methods and hypothesis testing for data interpretation.
Nice To Haves
- Exposure to cloud environments such as Azure or Databricks preferred.
Responsibilities
- Data Collection & Cleaning: Gather, preprocess, and validate datasets from internal and external sources.
- Exploratory Data Analysis (EDA): Identify trends, patterns, and anomalies using statistical and visual techniques.
- Model Development: Build and evaluate predictive models using machine learning algorithms.
- Visualization & Reporting: Create dashboards and visual reports to communicate findings to stakeholders.
- Documentation: Maintain clear records of methodologies, code, and project outcomes.
- Collaboration: Work closely with cross-functional teams to align data solutions with business needs.
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
