Data, Analytics, & AI Intern

Sargento Foods•Plymouth, WI

5d•Hybrid

About The Position

This internship offers an opportunity to expand skills in developing data structures, data programming languages, and data governance practices. Interns will learn about transforming, enabling, and protecting data for business use, including how modern data pipelines, cloud platforms, and emerging AI capabilities support analytics, decision-making, and business outcomes. The role involves working on real and relevant projects aligned with business objectives, gaining valuable skills for entry-level opportunities, and receiving mentorship and career development. The company culture emphasizes treating employees like family and encouraging them to make a meaningful difference.

Requirements

Pursuing a bachelor’s degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore year prior to the start of internship.
Proficiency in MS Office.
Ability to communicate complex data insights in a clear and concise manner.
Effective communication skills with the ability to work with cross-functional teams and stakeholders.
Strong analytical and problem-solving skills.
Eagerness to learn and adapt in a fast-paced environment.
Curiosity about how data moves through systems and how it is structured, stored, consumed, and leveraged through analytics and AI solutions.
Valid driver’s license, vehicle insurance, and vehicle required.

Nice To Haves

Basic understanding of data querying and programming languages (SQL, Python) a plus.
Familiarity with AI tools, prompt engineering concepts, machine learning fundamentals, or generative AI technologies is a plus.
Familiarity with cloud platforms (AWS, Azure, or Snowflake) a plus.
Exposure to data pipeline or transformation tools (dbt, Matillion, or similar) a plus.
Experience with data visualization or business intelligence (BI) tools a plus.

Responsibilities

Design data visuals and concepts based on business stakeholder input.
Collaborate with business stakeholders to discover business needs and capture business use cases for data, analytics, and AI initiatives.
Build basic data models for business analytics initiatives with support from data engineers.
Assist in developing and testing ELT/ETL pipelines that move and transform data across cloud and on-premise systems.
Support data quality monitoring efforts, including identifying anomalies, gaps, and inconsistencies in datasets.
Develop and manage policies and best practices for proper data protection and security.
Support the collection of metadata information for analytics metrics and data terminology, including contributing to data catalog and lineage documentation efforts.
Assist in enabling business stakeholders on data, analytics, and AI tools, software, and concepts, including responsible and effective use of approved AI capabilities.
Support AI-related research, experimentation, and documentation efforts, including evaluating use cases, gathering business requirements, measuring value, and contributing to AI adoption and enablement activities.
Gain a basic understanding and work effectively in an Agile (SAFe) project management framework.
Assist with packaging design projects.

Benefits

Lead and own real and relevant projects aligned with business objectives
Gain valuable skills and experiences to be prepared for entry level opportunities
Mentorship and career development to learn and grow personally and professionally
Volunteer in community service activities
Social professional networking experiences
Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day Fridays
Nationally competitive compensation
Paid relocation and housing
5 unpaid days off for interns and 10 unpaid days off for co-ops
401(k) employer contribution top 1% in the nation
Discounts at the company cheese store and local attractions/events