Philips Internship 2026 Hiring Intern – AI and Data Science in Bangalore | Apply Now

Philips Internship 2026 is now open for applications. Philips, one of the world’s leading health technology companies, is hiring Intern – AI and Data Science for its Bangalore office. This internship provides an excellent opportunity for students and fresh graduates to gain real-world industry experience, work on impactful projects, and learn from experienced professionals in a global organization.

Candidates from the 2024, 2025, and 2026 batches are eligible to apply. Interested applicants can review the complete details below and submit their applications online before the deadline.

Philips Internship 2026 Overview

ParticularsDetails
CompanyPhilips
Job RoleIntern – AI and Data Science
LocationBangalore, Karnataka
EligibilityStudents and Fresh Graduates
Batch2024 / 2025 / 2026
Job TypeFull-Time Internship
StipendCompetitive (Not Disclosed)
Job ID585907
Application ModeOnline
Last Date to ApplyJune 14, 2026

About Philips

Philips is a global leader in health technology dedicated to improving people’s health and well-being through meaningful innovation. With a history spanning more than 130 years, Philips develops advanced technologies and solutions that help healthcare professionals provide better patient care while improving lives around the world.

Operating in more than 100 countries, Philips focuses on areas including Precision Diagnosis, Image Guided Therapy, Enterprise Informatics, Monitoring and Connected Care, Sleep & Respiratory Care, and Personal Health. The company is driven by a mission to make the world healthier and more sustainable through innovation.

Philips Internship 2026 – Role Overview

As an Intern – AI and Data Science at Philips, you will work closely with experienced professionals on meaningful projects that contribute to healthcare innovation. The internship offers valuable exposure to real-world business challenges while helping interns develop both technical and professional skills.

This opportunity is ideal for students and fresh graduates who are passionate about Artificial Intelligence, Data Science, analytics, and solving real-world problems through technology.

Key Responsibilities

Work on Meaningful Projects

  • Contribute to projects that create measurable impact within the organization.
  • Apply academic knowledge to solve practical business and healthcare challenges.

Collaborate with Teams

  • Work closely with team members, mentors, and stakeholders.
  • Participate in discussions, meetings, and project planning activities.

Learn and Grow

  • Take advantage of professional development and learning opportunities.
  • Gain hands-on experience with industry-standard tools and technologies.

Support Innovation

  • Assist in developing innovative solutions that improve healthcare outcomes.
  • Contribute ideas and insights during project execution.

Deliver Quality Results

  • Complete assigned tasks within deadlines.
  • Ensure high-quality work while following organizational standards and processes.

Eligibility Criteria

Candidates interested in Philips Internship 2026 must meet the following requirements:

Educational Qualification

  • Students or fresh graduates pursuing or completing a relevant degree program.
  • Academic background should be related to Artificial Intelligence, Data Science, Computer Science, Information Technology, Electronics, or other relevant disciplines.

Eligible Batches

  • 2024 Batch
  • 2025 Batch
  • 2026 Batch

Required Skills

  • Strong analytical and problem-solving abilities.
  • Basic understanding of AI, Machine Learning, or Data Science concepts.
  • Good communication and collaboration skills.
  • Willingness to learn and adapt in a fast-paced environment.
  • Ability to work effectively within a team.

Selection Process

The selection process for Philips Internship 2026 generally consists of the following stages:

Application Screening

The recruitment team reviews submitted applications to assess eligibility, academic background, and overall suitability for the internship.

Technical or Functional Interview

Shortlisted candidates may be evaluated on technical knowledge, academic projects, problem-solving skills, and relevant domain expertise.

HR Interview

The final round focuses on communication skills, career goals, teamwork abilities, and cultural fit within Philips.

Stipend and Benefits

Philips has not officially disclosed the internship stipend. However, selected candidates can expect competitive compensation along with several benefits, including:

  • Hands-on industry experience.
  • Mentorship from experienced professionals.
  • Exposure to global healthcare technology projects.
  • Professional development opportunities.
  • Networking with industry experts.
  • Potential future career opportunities within Philips.

Why Join Philips?

  • Work with one of the world’s most respected health technology companies.
  • Gain practical experience in Artificial Intelligence and Data Science.
  • Learn from experienced professionals and industry leaders.
  • Contribute to projects that positively impact healthcare worldwide.
  • Build valuable skills and strengthen your professional profile.

How to Apply for Philips Internship 2026?

Follow these steps to apply:

  1. Visit the official Philips Careers portal.
  2. Search for Job ID 585907.
  3. Read the complete job description and eligibility requirements.
  4. Create an account or log in to the Philips Workday portal.
  5. Complete the online application form.
  6. Upload your updated resume in PDF format.
  7. Review all information carefully and submit your application before the deadline.

Important Note

Candidates are advised to apply as early as possible, as positions may close once sufficient applications have been received. Ensure that your resume is updated and highlights relevant projects, skills, and achievements related to AI and Data Science.

Apply Now

Application Deadline: June 14, 2026

Apply Here: https://philips.wd3.myworkdayjobs.com/jobs-and-careers/job/Bangalore/Intern—AI-and-Data-Science_585907/?source=LinkedIn

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