How do I apply for the Internship: Regulatory Affairs AI Engineering position at Philips and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Philips paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Internship: Regulatory Affairs AI Engineering role?

This position is a full-time, structured as a on-site role.

What educational background or degree level is required for the Internship: Regulatory Affairs AI Engineering at Philips?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does Philips provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Internship: Regulatory Affairs AI Engineering

Philips

Found 1 hour ago

Location

Best, Netherlands

Time

Full-time

Work Mode

On-site

Salary

€ 500 - € 700 gross

Visa Help

Not disclosed

Last Verified

1 hour ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

Python
AI/ML
automation
Software Engineering
Computer Science
Mathematics
Data Science

Soft Skills

analytical skills
research skills
communications
documentation skills

Job Description

The Regulatory Affairs Intern will support a dynamic team responsible for enabling product sales through regulatory approvals, registrations, and compliance activities. This role focuses on developing and implementing AI-driven tools and agents to enhance efficiency in regulatory processes, helping the department maintain products on the market and streamline workflows.

Requirements

currently pursuing a Bachelor or Master degree in Software Engineering, Computer Science, Mathematics, Data Science
an interest in AI/ML and automation
basic programming skills (Python preferred)
strong analytical and research skills
proficient in Microsoft Office
good communications and documentation skills

AI & Machine Learning

Applied Machine Learning

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46177Open Positions

Internship: Regulatory Affairs AI Engineering

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

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