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Nestle

AI Intern

Nestle

. Review state-of-the-art research in Agentic AI, autonomous reasoning and knowledge discovery .

Posted 10/28/2026internshipLausanne • SwitzerlandEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Generative AI and Agentic AI, with strong Python programming and data-processing skills. Capable of developing proof-of-concept solutions for signal detection and relationship discovery while collaborating with domain experts.

Highest-signal resume keywords
Generative AIAgentic AIPython ProgrammingData ProcessingAnalytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingData ProcessingKnowledge DiscoverySignal DetectionAutonomous ReasoningProof-of-Concept DevelopmentValidation StrategiesDigital Early Warning SystemsKnowledge GraphsOntology Engineering
Soft Skills
Analytical SkillsProblem-SolvingCollaboration
Tools & Technologies
Unix Environments
Industry Keywords
Artificial IntelligenceFood SafetyChemistryScientific LiteratureRegulatory PublicationsEmerging SignalsUnstructured Information

Tech Stack

Tools & technologies
PythonUnix

About the role

Key responsibilities & impact
  • Review state-of-the-art research in Agentic AI, autonomous reasoning and knowledge discovery
  • Benchmark emerging approaches against existing information extraction and signal detection capabilities
  • Design and develop proof-of-concept autonomous AI agents and workflows for signal detection, relationship discovery and evidence gathering
  • Explore how Agentic AI can identify relevant entities, associations and emerging signals from large-scale, unstructured external information
  • Define and apply validation strategies to assess the relevance and reliability of autonomous-agent outcomes
  • Collaborate with domain experts to define early warning use cases, investigate emerging signals and translate requirements into proof-of-concept solutions
  • Develop and evaluate approaches for digital early warning systems using scientific literature, regulatory publications, news, patents and digital media

Requirements

What you’ll need
  • Student or recent graduate from a Bachelor or Master degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or a related field
  • Strong knowledge of Generative AI and Agentic AI
  • Solid Python programming and data-processing skills
  • Interest in applying AI to scientific and early warning challenges
  • Basic understanding of food safety or chemistry is an advantage
  • Experience working in Unix environments is an advantage
  • Exposure to knowledge graphs, ontology engineering or linked data concepts is beneficial
  • Strong analytical, problem-solving and collaboration skills
  • Fluency in English (written & spoken)

Benefits

Comp & perks
  • Learning and development opportunities to grow your career
  • Healthcare contribution
  • Access to the Employee Assistance Program
  • Attractive employee discounts across various products and services
  • Reasonable accommodations if needed
  • Fully accessible workplaces
  • Strong safety culture with modern installations and procedures