2027 Summer Intern: Technology Data & Analytics, Data Engineer & Data Science

PepsiCo•Plano, TX

1d•Onsite

About The Position

PepsiCo is on a digital journey to become an intelligent company that derives its competitive advantage and sustainable growth from our ability to quickly anticipate and adapt to a constantly changing context having the consumer at the heart of the digital transformation. We will enhance the human experience and maximize value through the power of digital solutions, driving a deeply interconnected internal ecosystem of people, processes, systems, and data to engage seamlessly with consumers, customers, employees, partners and communities. Digital Evolution is critical to driving PepsiCo ’ s ambitions around being FASTER, STRONGER, and BETTER.

Requirements

Currently pursuing a degree in: Business Administration, Business Information Systems, Computer Science, Computer Engineering, Engineering, Finance, Information Systems, MIS or Software Engineering (other related majors may be considered)
Minimum GPA 3.0
Technology related experience a plus
Ability to learn new technologies and processes information quickly
Ability to adapt to changes in timelines and sequences
Excellent verbal and written communication skills
Ability to participate in ten or twelve-week internship program May - August
This position is limited to persons with indefinite right to work in the United States.
Graduate with bachelor’s or master’s degree within one (1) year of internship completion

Responsibilities

Develops reporting & analytical solutions to turn data into business insights.
Manages reusable & consistent data foundations.
Designs and codes specific cross-sub-system of key algorithmic structures.
Manages and evaluates solutions for large scale data processing systems, data warehousing services and solutions using advanced database technologies.
Designs and builds predictive models to measure data difficulty and ambiguity level and error probability.
Builds data models and organizes structured and unstructured data to interpret solutions.