PepsiCo

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo’s product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands – such as Lay’s, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker and SodaStream – that generate more than $1 billion each in estimated annual retail sales.

But did you know we’re in the middle of a digital transformation? And we do mean transformation. We’re redefining how the consumer goods industry works, and what it’s going to look like in the years, and decades, to come. The investment is here. We´ve created digital hubs in Dallas, Barcelona and Vitoria – state-of-the-art spaces designed to help us get the most from very latest technologies, from AI to machine learning.

These aren’t regular work environments: they’re incubators for inventive thinking and problem solving – communities that bring together all kinds of brilliant minds, from data engineers to marketers, to spark inspiration and ignite change. Our hubs are headed up by Dr Athina Kanioura – our Chief Strategy and Transformation Officer. Under her leadership, we’re already driving cross-functional synergies and meaningful, long-term innovation. In fact, the hubs have been so quick to show results that we’ve decided to open more, in Mexico City and India. Although, as you’d expect from a truly global company, we also have best-in-class technical talent working all over the world.

Career opportunities
These are just examples of the types of job opportunities the company offers. A complete overview of job opportunities can be found in the respective career portal

Lead Data Engineer

Senior Analyst – Data Modeler

Senior Software Engineer

Lead Data Analyst (Supply Chain or Finance or Commercial)

Data Scientist

Career Portal

About

PepsiCo brands can be found in just about every country on the planet, and globally we´re transforming how we make, move and sell our products. We´re in the midst of a digital transformation, defining what it means to be a CPG company in this digital age, by embracing emerging tech.

When we talk “career trajectory” we’re focused on the long term – not just your next job, but the career you are striving for. Your development is business imperative, so expect us to take it seriously.

This isn’t about maintaining legacy tech. It’s the chance to join new projects, solve complex problems, work with groundbreaking technology, and build something from the ground up.

We support employees from all backgrounds to enjoy life inside and outside of work. You can be sure that what matters to you also matters to PepsiCo.

We´ve created centers of excellence, designed to inspire our people. These aren´t regular work environments: they´re incubators for inventive thinking and problem-solving. They´re where our teams come together to create brand new solutions from the ground up, to solve complex global challenges and disrupt the norm. So are you ready to join our team?

Lead Data Engineer

Overview

PepsiCo operates in an environment undergoing immense and rapid change.  Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT.  The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics, and new product development.  PepsiCo’s Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

What PepsiCo Data Management and Operations does:

  • Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company
  • Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset
  • Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders
  • Increase awareness about available data and democratize access to it across the company

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Responsibilities

Key Accountabilities:

  • Active contributor to code development in projects and services.
  • Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
  • Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
  • Responsible for implementing best practices around systems integration, security, performance, and data management.
  • Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
  • Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
  • Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
  • Develop and optimize procedures to “productionalize” data science models.
  • Define and manage SLA’s for data products and processes running in production.
  • Support large-scale experimentation done by data scientists.
  • Prototype new approaches and build solutions at scale.
  • Research in state-of-the-art methodologies.
  • Create documentation for learnings and knowledge transfer.
  • Create and audit reusable packages or libraries.

Qualifications:

  • 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.
  • 4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
  • 4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
  • 2+ years in cloud data engineering experience in Azure.
  • Fluent with Azure cloud services. Azure Certification is a plus.
  • Experience with integration of multi cloud services with on-premises technologies.
  • Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines.
  • Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
  • Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
  • Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
  • Experience with version control systems like Github and deployment & CI tools.
  • Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
  • Experience with Statistical/ML techniques is a plus.
  • Experience with building solutions in the retail or in the supply chain space is a plus
  • Understanding of metadata management, data lineage, and data glossaries is a plus.
  • Working knowledge of agile development, including DevOps and DataOps concepts.
  • Familiarity with business intelligence tools (such as PowerBI).
  • BA/BS in Computer Science, Math, Physics, or other technical fields. 

Skills, Abilities, Knowledge:

  • Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
  • Proven track record of leading, mentoring data teams.
  • Strong change manager. Comfortable with change, especially that which arises through company growth.
  • Ability to understand and translate business requirements into data and technical requirements.
  • High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
  • Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
  • Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.
  • Foster a team culture of accountability, communication, and self-management.
  • Proactively drives impact and engagement while bringing others along.
  • Consistently attain/exceed individual and team goals
  • Ability to lead others without direct authority in a matrixed environment.
  • Differentiating Competencies Required:
  • Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.
  • Understands both the engineering and business side of the Data Products released.
  • Places the user in the center of decision making.
  • Teams up and collaborates for speed, agility, and innovation.
  • Experience with and embraces agile methodologies.
  • Strong negotiation and decision-making skill.
  • Experience managing and working with globally distributed teams.

Senior Analyst – Data Modeler

Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain

PepsiCo is using the power of data to transform the way our world-famous portfolio of brands are sold every day. Our Data Science & Analytics group influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the data science roadmap across all of our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world.

Join PepsiCo’s Enterprise Data Operations team which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

As a Data Modeling Specialist, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams.

As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.  The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework.  You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse.

Key Accountabilities:

  • Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
  • Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.
  • Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting.
  • Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools.
  • Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development.
  • Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework.
  • Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
  • Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations.
  • Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development.
  • Assist with data planning, sourcing, collection, profiling, and transformation.
  • Create Source To Target Mappings for ETL and BI developers.
  • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit.
  • Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing.
  • Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders.
  • Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. 

Qualifications:

  • 5+ years of overall technology experience that includes at least 3+ years of data modeling and system architecture.
  • 3+ years of experience developing enterprise data models.
  • Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models).
  • Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake.
  • Experience with version control systems like Github and deployment & CI tools.
  • Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus.
  • Experience with building solutions in the retail or in the supply chain space is a plus
  • Experience of metadata management, data lineage, and data glossaries is a plus.
  • Working knowledge of agile development, including DevOps and DataOps concepts.
  • BA/BS in Computer Science, Math, Physics, or other technical fields.

Skills, Abilities, Knowledge:

  • Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
  • Ability to understand and translate business requirements into data and technical requirements.
  • Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
  • Good organizational and interpersonal skills
  • Consistently attain/exceed individual goals
  • Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies
  • Participate in technical discussions related to Data Modeling

What makes us different?

  • Hybrid work model & collaborative office experience to enable innovation
  • Entrepreneurial environment in leading international company
  • Professional growth possibilities & learning opportunities
  • Variety of benefits to support your physical, emotional and financial wellbeing
  • Volunteering opportunities to help external communities
  • Diverse team from over 25 countries
  • Have a stake in D&I strategy and Bring your whole self to work

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We operate with start-up mindset – agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment and fun to the world.

PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. https://www.youtube.com/watch?v=PO5CdBmWjUY

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

  • We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

Senior Software Engineer

Overview

Digital Products and Services at PepsiCo

The Digital Evolution is critical to driving PepsiCo’s ambitions around being FASTER, STRONGER, and BETTER.  The Digital Products & Services team designs, builds, and stands up digital solutions across the value chain, that are embedded into business processes to optimize efficiency, reduce costs, and maintain high ROI. Guided by PEPSICO’s global priorities, the Digital Products & Services team create user-centric digital products that can be scaled globally by leveraging the leading technologies, advanced analytics algorithms and latest user research.

Your mission

You as a Senior Software Engineer will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the cornerstone of scalable digital transformation across PepsiCo’s value chain. This candidate will support the end-to-end software development experience and deliver high quality software as part of the DevOps process.

You will provide technical oversight and direction to our software development team to ensure we deliver the best possible software solutions and ensure they are generating value through cost savings or incremental value. You will work closely with the user experience, product, IT, and process engineering teams to develop new products and prioritize deliver solutions across S&T core priorities.

Responsibilities

Your day to day with us:

  • Support the vision and guide a team of engineers to build and support digital products and services (DPS) across S&T core priorities
  • Partner with User Experience, Product Management, IT, Data & Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio
  • Support software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy.
  • Support expanding DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences
  • Help problem solve delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders
  • Interact with key business partners to recommend solutions that best meet the strategic needs of the business 

Qualifications

What you will need to succeed:

  • A Bachelor’s Degree in Computer Science, Engineering or a related field
  • Minimum of 6 years of relevant software development and engineering management experience
  • 3+ years of experience on architecting fault tolerant, high scale distributed systems
  • Commanding knowledge of data structures, algorithms, and object-oriented design

Experience in Java and Spring / SpringBoot ecosystem, JUnit , BackEnd MicroServices, Serverless Computing, Creating REST API’S

-OR-

Experience with JavaScript/TypeScript, Node.js, React / ReactNative FrontEnd frameworks

-OR-

Full stack engineering experience (Python & React)

  • Experience with Azure Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions
  • Experience with mission critical, 24x7 systems and implementing and consuming large-scale web services
  • Deep knowledge of design patterns
  • Strong attention to detail and extremely well-organize
  • Ability to run a large team of software engineers and to manage multiple projects with competing priorities
  • Ability to be able to interface with the business and recognize their needs and priorities
  • Ability to work cross functionally with product, service design and operations across the organization, as well as, with partners in other units
  • Ability to navigate a complex organization and to influence and lead people across cultures at a senior level

What makes us different?

  • Hybrid work model & collaborative office experience to enable innovation
  • Entrepreneurial environment in leading international company
  • Professional growth possibilities & learning opportunities
  • Variety of benefits to support your physical, emotional and financial wellbeing
  • Volunteering opportunities to help external communities
  • Diverse team from over 25 countries
  • Have a stake in D&I strategy and Bring your whole self to work

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We operate with start-up mindset – agile, innovative, and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment, and fun to the world.

PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. https://www.youtube.com/watch?v=PO5CdBmWjUY

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

* We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

Lead Data Analyst (Supply Chain or Finance or Commercial)

Locations: Spain

Overview

PepsiCo is using the power of data to transform the way our world-famous portfolio of brands is sold every day. Our Data & Analytics organization influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the roadmap across all our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world

Join PepsiCo’s Enterprise Data Operations Organization which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

Your mission

As a member of the data engineering team, you will be the key domain expert overseeing PepsiCo's business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with business leads, data science team and data engineering team. You'll develop an in-depth understanding of business processes in and translate business requirements to data engineering team in technical way.

Responsibilities

Your day to day with us: 

  • Discover, analyze, and scope data requirements & representing them in conceptual and logical data models
  • Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models. geographics, POS, pricing and promotion, store profile, e-commerce data to develop channel models.
  • Create high-level process models (system interface diagrams, workflow & swim lane diagrams, data flow diagrams) to represent processes for the area under analysis
  • Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
  • Responsible to improve the quality of data in relation to defined expectations
  • Perform analysis of system data to identify patterns, exceptions, and erroneous data

Qualifications

 What will you need to suceed:

  • Bachelor’s Degree in Supply Chain and/or Operations Management is Required, Masters Preferred.
  • 6+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry.
  • 5+ years’ work experience in the areas of Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, Demand Planning, or other areas related to Supply Chain or other domains such as Financial, Consumer, Channel, Category etc.
  • 4+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to in-form data model build out.
  • Experience in working with Datasets from POS Aggregators such as IRI, Nielsen, Kantar etc.
  • Experience working with structured/unstructured datasets, ability to clearly document and communicate requirement to technical team members.
  • Experience with Business Intelligence tools, SQLTools.
  • Strong knowledge and understanding of Supply Chain data elements and processes per the necessary in-scope data domain (i.e., Customer, Material, Vendor)
  • Ability to translate business requirements into critical data dependencies and requirements
  • Able to challenge and align various stakeholders to a common set of standards
  • Self-starter with excellent written & verbal communication skills.
  • Self-learner and eager to understand data, business processes, concepts, and technologies.

What makes us different?

  • Hybrid work model & collaborative office experience to enable innovation
  • Entrepreneurial environment in leading international company
  • Prpfessional growth possibilities & learning opportunities
  • Variety of benefits to support your physical, emotional and financial wellbeing
  • Volunteering opportunities to help external communities
  • Diverse team from over 25 countries
  • Have a stake in D&I strategy and Bring your whole self to work

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We operate with start-up mindset – agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment and fun to the world.

PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. https://www.youtube.com/watch?v=PO5CdBmWjUY

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

* We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

Data Scientist

Overview

About D+A at PepsiCo

PepsiCo is using the power of data to transform the way our world-famous portfolio of brands is sold every day. Our Data & Analytics organization influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the roadmap across all our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world.

Data Science

Join our Data Science team where you will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

Your mission
Your role will be to be part of growing team based in Barcelona, to create and support global digital developments for PepsiCo. These developments will be focus on Consumer Analytics and Innovation but with the option in the future to collaborate into other fields such as revenue management, supply chain, manufacturing, logistics.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing.

Responsibilities

Your day to day with us

  • Refine requirements into modelling problems.
  • Set KPIs and metrics to evaluate analytics solution given a particular use case.
  • Research state-of-the-art methodologies.
  • Create documentation for learnings and knowledge transfer.
  • Create reusable packages or libraries
  • Comfortable working with cloud environments (such as Databricks)
  • Comfortable working with CI / CD
  • Support large-scale experimentation and build data-driven models.
  • Familiar with visualizations tools (such as PowerBi) to easily demonstrate insights of the data&results.
  • Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
  • Partner with ML engineers working on industrialization.
  • Coordinate work activities with Business teams, other IT services and as required.
  • Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed.
  • Communicate with business stakeholders in the process of service design, training and knowledge transfer.
  • Influence product teams through data-based recommendations.

Qualifications

What you will need to succeed:

  • Fluent in git (version control, pre-commit tools), SQL, Python, PySpark syntaxis.
  • Experience writing tests (pytest) with Python.
  • 3+ years’ experience in ETL and/or data wrangling techniques.
  • 3+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
  • Experience working with Time Series Data.
  • Experience in developing business problem using Databricks.
  • Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool (preferable PowerBi).
  • Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
  • Experience with Agile methodology for teamwork and analytics ‘product’ creation. Fluent in Azure Boards and Wiki.
  • Experience with distributed machine learning is a plus
  • Building Docker images are a plus.
  • Experiences with Deep Learning are a plus.
  • Experience with Azure cloud services is a plus.
  • Experience in Reinforcement Learning is a plus.
  • Experience in Simulation and Optimization problems in any space is a plus.
  • Experience with Bayesian methods is a plus.
  • Experience with Causal inference is a plus.
  • Experience with NLP is a plus.
  • Experience with working with FAIR data is a plus.
  • Experience with Responsible AI is a plus.

What makes us different?

  • Hybrid work model & collaborative office experience to enable innovation
  • Entrepreneurial environment in leading international company
  • Professional growth possibilities & learning opportunities
  • Variety of benefits to support your physical, emotional, and financial wellbeing
  • Volunteering opportunities to help external communities
  • Diverse team from over 25 countries
  • Have a stake in D&I strategy and bring your whole self to work

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo D+A. We operate with start-up mindset – agile, innovative, and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment, and fun to the world.

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability