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

Overview

Overview SMILE AT WHAT’S NEXT At PepsiCo, you'll find the opportunity to grow your career, make an impact, and help shape what's next. As one of the world's leading food and beverage companies, our beloved brands—including Gatorade, Lay's, and Quaker—help create smiles with every sip and bite. Behind our products is a connected system that starts with how we source and grow ingredients alongside farmers and extends to how we make, move, and deliver products while driving positive impact for our business and communities. At the heart of PepsiCo are our people: professionals who bring curiosity, drive, and fresh thinking, working together to turn ideas into action. Across functions, teams, and markets, we collaborate to solve challenges, unlock new opportunities, and create meaningful impact for our consumers, customers, and communities. No matter your role, you'll be part of a connected community where your contributions matter, your voice is heard, and your development is supported. With opportunities to grow, belong, and smile, PepsiCo offers more than a place to build your career—it offers the chance to help create what's next. Functional Description: 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. Responsibilities Students are afforded opportunities for beneficial, meaningful work experience within one of PepsiCo’s Strategy & Transformation teams. The Data & Analytics, Data Engineer & Data Science role profile consists of - Data & Analytics: Develops reporting & analytical solutions to turn data into business insights. Includes the management of reusable & consistent data foundations. Data Engineers: designs and codes specific cross-sub-system of key algorithmic structures. They manage and evaluate solutions for large scale data processing systems, data warehousing services and solutions using advanced database technologies. Data Scientists: are responsible for designing and building predictive models to measure data difficulty and ambiguity level and error probability. They build data models and organize structured and unstructured data to interpret solutions. Technical Skills Artificial neural networks Azure Big Data Chatbots Data architectures Hadoop MATLAB PowerBI Python R Spark SQL Tableau Take note: While final work placement will be in one of the following two locations, no specific location is guaranteed pre-offer. Actual working location will be determined and identified at the point of offer. Plano, TX Purchase, NY Qualifications 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 Minimum Qualifications - Each candidate is expected to: 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 Compensation: The expected compensation hourly pay ranges for hires into our 2027 campus intern openings is $21.09 - $44.40 hourly. Role, degree discipline, degree level, and location are part of the process when determining actual starting salary for positions. Hourly pay for our campus hires is pre-determined and non-negotiable. We love to convert our interns to full-time opportunities! Our full-time positions have a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement

Responsibilities

Students are afforded opportunities for beneficial, meaningful work experience within one of PepsiCo’s Strategy & Transformation teams. The Data & Analytics, Data Engineer & Data Science role profile consists of - Data & Analytics: Develops reporting & analytical solutions to turn data into business insights. Includes the management of reusable & consistent data foundations. Data Engineers: designs and codes specific cross-sub-system of key algorithmic structures. They manage and evaluate solutions for large scale data processing systems, data warehousing services and solutions using advanced database technologies. Data Scientists: are responsible for designing and building predictive models to measure data difficulty and ambiguity level and error probability. They build data models and organize structured and unstructured data to interpret solutions. Technical Skills Artificial neural networks Azure Big Data Chatbots Data architectures Hadoop MATLAB PowerBI Python R Spark SQL Tableau Take note: While final work placement will be in one of the following two locations, no specific location is guaranteed pre-offer. Actual working location will be determined and identified at the point of offer. Plano, TX Purchase, NY

Qualifications

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 Minimum Qualifications - Each candidate is expected to: 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