Intern – Data Science and AI Engineering
Complete preparation guide for Intern – Data Science and AI Engineering
Philips is hiring for Intern – Data Science and AI Engineering (Full-time) in Bangalore, targeting candidates from the Fresher batch with Fresher experience. The listed compensation is 15k - 30k per month. Key skills mentioned in the listing include Data Science. This page goes beyond the raw listing so students can understand what Philips usually expects for this role, how to prepare for their screening process, and how to apply more thoughtfully instead of forwarding a generic resume.
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Role Preparation Guide
CampusToCareer EditorialThis page is built as a career preparation guide for Intern – Data Science and AI Engineering at Philips. Read the editorial sections below for company context, skill breakdowns, interview preparation, and salary insights. The original employer job description is preserved at the bottom of this page for reference.
💡 Editor's Comprehensive Career Guide for this Role
🏢 About Philips & Culture
Philips is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Philips are integrated into production teams with structured onboarding and mentorship.
📈 Career Progression Pathway
Analytics tracks grow into Senior Data Analyst, Analytics Manager, or transition towards Business Intelligence (BI) Developer and Data Science positions.
💰 Salary & Compensation Insights
Data analyst roles offer competitive compensation with potential for rapid bumps as you master business domain intelligence and high-level predictive modeling tools.
⚡ Recruitment & Selection Process
CampusToCareer Analysis
🎯 Should You Apply?
✓ Suitable for:
- ✓ Business graduates
- ✓ Engineering students
- ✓ Students interested in consulting or analytics
✗ Not ideal if:
- ✗ Looking strictly for software development/coding roles
- ✗ Uncomfortable with stakeholder presentations
⚡ Difficulty Level
🎓 What You Will Learn
Skills you may develop through this role:
- Data Science
- SQL database query optimization
- Data visualization with Tableau/PowerBI
- Business documentation & requirement gathering
📝 How to Prepare
- Master SQL basics (joins, subqueries, group by, window functions)
- Understand business analysis lifecycles and requirement gathering
- Practice communication and case study problems
- Learn key metrics (conversion, churn, retention) used in analysis
📄 Resume Match Tips
Highlight these on your resume to stand out:
- ✓ Highlight communication projects and business case studies
- ✓ List SQL and Excel proficiency with concrete project examples
- ✓ Showcase leadership, clubs, or team collaboration experiences
Reality Check
This role is less technical and more communication-oriented. Students expecting software development or compiler work may find the role different from expectations.
❓ Frequently Asked Questions
Related Career Guides
Original Job Description
The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.
Job Description
Intern – Data Science and AI Engineering
Apply
locations
Bangalore
time type
Full time
posted on
Posted Today
time left to apply
End Date: July 3, 2026 (1 hour left to apply)
job requisition id
587413
Job Title
Intern – Data Science and AI Engineering
Job Description
Job title:
One sentence description of role
Your role:
• The greater impact of this role.
• Detail elements of the team and stakeholders for this role.
• What are the professional and personal opportunities for development within this role?
• From (benefit 1) to (benefit 2), a career at Philips comes with all sorts of wonderful benefits. Be sure to speak to your recruiter about benefits in your region.
You're the right fit if: (4 x bullets max)
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Experience.
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Skills.
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Education.
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Anything else.
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.