Data Science/AI Intern
Location
United States
Posted
6 days ago
Salary
$17 - $23 / hour
No structured requirement data.
Job Description
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.
Purpose Statement
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.
Key Accountabilities and Outcomes
• 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.
Knowledge, Skills, and Experience
• 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.
• Exposure to cloud environments such as Azure or Databricks preferred.
#LI-NT1
#INTERN123
COMPENSATION
In accordance with state law, the rate or range provided is Rich Products Corporation, its subsidiaries and affiliates ("Rich's"), reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, shift differential, and location.
Annual Range/Hourly Rate
$17.00 - $23.00
Rich Products Corporation, its subsidiaries and affiliates (“Rich’s”), are committed to a policy of Equal Employment Opportunity, standing up for fairness and maintaining a culture of belonging, to provide an exceptional experience for all. We will not discriminate against an applicant or employee on the basis of race, color, religion, sex, national origin, disability, military or veteran status, or any other Federal or State legally protected classes. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Rich’s. Please contact Rich’s Associate Experience Network at hrhelp@rich.com if you need assistance completing this application or to otherwise participate in the application process.
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
The Data Scientist will design, implement, and analyze A/B tests to evaluate product features and AI-powered experiences, while partnering closely with Product and Engineering teams to inform roadmap prioritization and feature design. Responsibilities also include building scalable data pipelines, defining success metrics, and translating complex analyses into actionable insights for partners.
Growth Analytics Lead optimizing marketing analytics for a high-growth DTC brand
Director of Data Science enabling enterprise AI strategy for healthcare
Language Data Scientist
Innodata IncInnodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.
The role involves designing and improving workflows for creating and evaluating data for AI/ML training, including human annotation and synthetic data processes. Key tasks include critically assessing tooling, quantitatively analyzing large datasets, and collaborating closely with client stakeholders to define goals and execute solutions.
