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.
Skills Required
- Student in at least the 4th year 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
- Proficiency in data analysis tools
- Knowledge in programming skills in either Python and JavaScript
- Knowledge of AI development tools and frameworks
- Understanding of database structures and data visualization principles
What We Do
CGIAR is a global research partnership for a food-secure future, dedicated to transforming food, land, and water systems in a climate crisis. Its science aims to reduce poverty, enhance food and nutrition security, and improve natural resources and ecosystem services.







