26/08 HR AI & Digital Transformation Intern

The People & Culture (HR) function is strengthening its digital capabilities to improve operational efficiency, support data-driven decision-making, and enhance the employee experience. As part of this effort, CIP is seeking for one (1) HR AI & Digital Transformation Intern to support the use of artificial intelligence, automation, analytics, and low-code/no-code tools to modernize HR processes and reporting.

About the role: The intern will help prototype and implement practical automation solutions (via code or no-code approaches), strengthen HR reporting frameworks, and contribute to a culture of evidence-based HR management. This internship will be based in Lima, Peru and will work under the supervision of the Head of P&C in collaboration with relevant corporate functions (e.g., IT, Finance, Operations) and under the technical co-supervision of the Head of Digital & Data.

Training activities:

AI & Process Automation

·       Help identify HR workflows suitable for automation (e.g., recruitment tracking, performance documentation support, onboarding workflows, policy queries).

·       Assist in testing and prototyping AI-enabled solutions to improve efficiency and reduce manual processes.

·       Build tools using modern programming languages (e.g., Python and JavaScript) and/or no-code/low-code platforms (e.g., Power Automate, Google Opal, Zapier, Airtable, Notion, Retool, Glide, etc.).

·       Support the development of internal AI agents or digital assistants for HR use cases (e.g., recruitment screening support, performance review guidance, policy navigation, FAQ automation).

·       Document processes, data flows, and technical architecture for sustainability and knowledge transfer.

·       Follow data protection and confidentiality guidelines when handling HR information.

·       Comply with data protection, confidentiality, and ethical AI standards as defined in CIP policies.

HR Data Analytics & Dashboard Development

·       Assist in preparing HR reports and dashboards, including but not limited to:

o   Workforce composition and demographics

o   Recruitment metrics (time-to-fill, pipeline conversion)

o   Turnover and retention analysis

o   Performance distribution data

o   Engagement and wellbeing indicators

o   Diversity and inclusion metrics

·       Collect, clean, and organize HR data from different sources.

·       Support automation of recurring reporting processes to reduce manual efforts.

·       Help improve data visualization (charts, tables, dashboards) for internal presentations.

·       Ensure data integrity, consistency, and governance alignment.

HR analytics support

·         Partner with HR Business Partners to understand business needs and analytics requirements.

·         Conduct data analysis and generate insights to support decision-making.

·         Support scenario modeling and workforce planning analytics where required.

Innovation & continuous improvement

·         Research emerging HR tech and AI trends and propose practical applications.

·         Recommend tools or digital solutions that enhance employee experience and HR productivity.

·         Contribute to building internal HR tech capability documentation and user guides.

Requirements

What are we looking for?

·       Student in at least the 4th year (8th Cycle) or a recent graduate in Data Science, Computer Science, Information Systems, Industrial Engineering, HR Analytics, Business Analytics, or related field.

·       Ranked in the upper third of their faculty (mandatory requirement).

Technical skills:

·       Proficiency in data analysis tools (Excel advanced, Power BI, Tableau, or similar).

·       Knowledge in programming skills in either of Python and Javascript. Strong no-code platform experience is an added advantage

·       Knowledge of AI development tools and frameworks (e.g., LangChain, LlamaIndex, Haystack, or similar). Courses, projects or certifications on these technologies are desirable.

·       Understanding of database structures and data visualization principles. Knowledge of Graph Databases (e.g Neo4J) and Vector databases (e.g. Pinecone or Chroma) is an added advantage.

·       Desirable:

o   Knowledge of HR processes or HR systems (e.g., HRIS, ATS, LMS).

o   Experience building dashboards or automation tools.

o   Understanding of data privacy and governance principles.

o   Understanding of the functions of an international (global) organization.

·       Soft skills:

o   Analytical thinking and structured problem-solving

o   Innovation mindset and digital curiosity

o   Strong attention to data accuracy and integrity

o   Collaboration and stakeholder engagement

o   Discretion and respect for confidentiality

Benefits

Why should you consider this opportunity?

·       CIP is a global and reputable international organization that has a strong, state-of-the-art R&D background. 

·       CIP is dedicated to achieving food security, improving nutrition and well-being, and gender equity for poor people in roots, tubers farming and food systems in the developing world.

·       CIP is a member of the CGIAR, a global partnership that unites international organizations engaged in research about food security. CGIAR research aims to reduce rural poverty, increase food security, improve human health and nutrition, and sustainable management of natural resources.

What are we offering?

·       Internship agreement up to December 31, 2026.

·       Monthly stipend and medical insurance.

·       An excellent working environment.

·       Work in an equal and diverse workplace.

How to apply?

Please visit the following link: http://cipotato.org/open-vacancies/ to submit your cover letter and a full C.V. We highly encourage all interested candidates to participate in this exciting and competitive process. The deadline for the receipt of applications is March 31, 2026.

This position will not have contact with children or vulnerable adults.

Learn more about CIP by accessing our web site at http://www.cipotato.org.

CIP is an equal opportunity employer. Qualified women and professionals from developing countries are particularly encouraged to apply