Data Science & AI Graduate

Descripción del empleo

Overview

About PepsiCo

PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a portfolio of 22 iconic brands, each generating over $1 Billion in annual retail sales. Our products are enjoyed in 200+ countries, powered by 250,000+ associates-game changers, mountain movers, and history makers-united by shared values and goals. At the heart of PepsiCo's Europe transformation is the Spain Digital Hub's - part of the Strategy & Transformation (S&T) organization. Within Spain we have two digital hubs - one in Barcelona and other in Vittoria. At the core, these digital hubs are growth engine for

• Build and scale technology solutions
• Unlock efficiencies and drive productivity
• Enhance effectiveness in core processes
• Re imagine digital user experiences

We call this Winning with Purpose: delivering strong business results while making a positive impact on society and the environment.

Role Overview

The Data Science & AI Graduate at PepsiCo's Vittoria - Digital Hub, Spain provides recent graduates with the opportunity to work on live DA&AI projects across diverse verticals, including:

• Data science & AI
• Machine learning

This role is designed to give students real-world exposure to cutting-edge technologies, helping them develop critical skills and laying the foundation for future careers at PepsiCo.

Responsibilities

Roles & Responsibilities

As an Data Science & AI Graduate, you will:

• Work on real-time projects under guidance of mentors
• Support design, development, and testing of technology solutions
• Assist in analyzing requirements and documenting solutions
• Collaborate with global teams on project modules
• Researching and developing statistical and Machine Learning models
• Implementing algorithms in Python and performing different experiments to validate that the models are fit for purpose
• Making scalable data science pipelines

Why PepsiCo?

As an Data Science & AI Graduate at PepsiCo, you will:

• Gain hands-on experience in digital transformation projects
• Learn from industry leaders and global mentors
• Work in an inclusive, innovative, and fast-paced environment
• Build a strong pipeline for future full-time opportunities

What makes us different?

• Hybrid working model: combination of remote and collaborative office experience to enable innovation
• Flexible work schedule
• Variety of benefits to support your physical, emotional and financial wellbeing
• Professional growth possibilities & learning opportunities
• Volunteering opportunities to help external communities
• Space to be you to promote our Diversity & Inclusion strategy

We look forward to welcoming you to PepsiCo's Data Science team and meeting you during interviews!

Qualifications

What We Are Looking For

We are seeking high-energy, passionate recent graduates within these areas:

• A Bachelor or Master degree in STEM (Computer Science, Computer Engineering, Software Engineering, Statistics, Physics, Mathematics, other related majors may be considered)
• 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

Minimum Qualifications - Each candidate is expected to:

• Hold a Bachelor's or Master's degree prior to the intended full time start date
• This position is limited to persons with right to work in Spain

Core Skills We Need

• Strong analytical and problem-solving skills
• Solid foundation in programming (Python, PySpark & SQL)
• Basic understanding of databases and querying
• Teamwork and communication skills

Our ideal candidate is:

• A self-starter with an eye for detail
• Adaptable and flexible in a dynamic environment
• Curious and eager to learn, innovate, and problem-solve

Información extra

Status

Activa

Estudios requeridos

E.S.O

Localización

Vitoria-Gasteiz

Tipo de contrato

Tiempo completo

Publicado el

12-06-2026

Carnet de conducir

No

Vehículo

No

Carta de motivación

No