AI & Automation Internship: Security Analytics

Philips International; Netherlands; On-site; EUR 5,600 - 7,800; Full time

Benefits offered by this job

Allowance €500-€700

Housing compensation

Travel compensation

Paid holidays

Job summary

Philips is offering an internship in AI & Automation (non-thesis) focused on enhancing security control frameworks through AI and automated workflows. The role emphasizes real-world data analysis, rapid prototyping, and stakeholder communication, with a structured path from proofs of concept to potential pilots.

Ideal candidates are pursuing a Bachelor or Master in Data Science, AI, CS or Cybersecurity, comfortable with incomplete data, and eager to learn information security in a hands-on

Qualifications

• Pursuing a Bachelor or Master in Data Science, AI, CS or Cybersecurity.
• Experience with data analysis and rapid prototyping through coursework or projects.
• Ability to explain technical findings to non-technical stakeholders.

Responsibilities

• Identify opportunities to improve Philips security control framework and security-assessment processes using AI and automation.
• Map assessment workflows, data sources and stakeholder needs.
• Prepare, structure and analyze real-world security data.
• Develop AI-assisted or automated assessment workflows and pilot progression.
• Define evaluation measures for quality, reliability, false positives/negatives, explainability and trust.
• Ensure privacy and information-security requirements throughout.
• Test prototypes with stakeholders and communicate findings clearly.
• Document approach and next steps for team continuation.

Skills

Data analysis

Rapid prototyping

Clear communication

Education

Bachelor's or Master's in Data Science/AI/CS/Cybersecurity

Job description

Philips is offering an internship in AI & Automation (non-thesis) focused on enhancing security control frameworks through AI and automated workflows. The role emphasizes real-world data analysis, rapid prototyping, and stakeholder communication, with a structured path from proofs of concept to potential pilots.

Ideal candidates are pursuing a Bachelor or Master in Data Science, AI, CS or Cybersecurity, comfortable with incomplete data, and eager to learn information security in a hands-on