Rolls Royce Internship 2025: The Rolls-Royce Data Engineer Internship 2025 is a fully paid 6-month program designed for students and recent graduates who aspire to innovate in the fields of data engineering, AI, and aerospace analytics. Join a global team working on advanced propulsion systems, sustainable aviation, and smart defense technologies all while gaining hands-on experience with real-world data and machine learning systems. The More Details about rolls royce Summer Internship 2025 are discussed in this Article Below.
Table of Contents
Founded in 1906, Rolls-Royce has grown from crafting iconic luxury automobiles to becoming a pioneering force in aerospace, defense, and energy systems. With a workforce of over 40,000 professionals across the globe, Rolls-Royce designs and delivers high-performance solutions for civil and military aviation, marine propulsion, and power generation. Whether it’s powering next-gen aircraft or driving clean energy transitions, Rolls-Royce continues to shape the future of mobility and technology worldwide.
Rolls Royce Internship 2025:
Internship Overview-Key Highlights
- Role: Data Engineer Intern
- Location: Embassy Manyata Tech Park, India
- Duration: 6 Months (Full-Time, In-Office)
- Stipend: Competitive Paid Internship
- Perks: Certificate of Completion, Networking, and Potential Job Offer
You’ll be joining the Rolls-Royce Data Labs team, which focuses on leveraging AI and data engineering to enhance operational efficiency, sustainability, and innovation across business units.
Responsibilities for rolls royce apprenticeship 2025:
During your internship, you will:
- Support the development and deployment of AI models and data algorithms for practical engineering applications
- Collaborate with cross-functional teams and understand real business use cases
- Perform data cleaning, transformation, and preprocessing for model accuracy
- Validate AI models and document results for internal stakeholders
- Stay updated on the latest trends in machine learning, data science, and big data tools
Who Can Apply for Rolls Royce Summer Internship 2025?
This internship is open to students and graduates who:
- Are pursuing or have completed a degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
- Have basic proficiency in Python, data analytics, and AI/ML concepts
- Are familiar with tools like Power BI, Matplotlib, or similar
- Possess strong analytical thinking, communication skills, and teamwork mindset
Preferred Technical Skills
- Python Programming
- Machine Learning & Artificial Intelligence
- Data Science Tools & Frameworks
- Data Visualization (Power BI, Matplotlib)
- Team Collaboration & Documentation
Benefits to Intern at Rolls-Royce?
- Global Impact: Work on projects that power the future of aviation, defense, and clean energy
- Innovation Culture: Be a part of a company that invests $1 billion+ in R&D annually
- Mentorship: Learn from senior engineers and AI experts
- Diversity & Inclusion: Experience a workplace that promotes equal opportunity and inclusive growth
- Career Progression: Outstanding interns may receive full-time offers upon successful completion
How to Apply for Rolls Royce Internship 2025?
- Update Your Resume: Emphasize relevant coursework, skills, and any prior internships/projects
- Craft a Cover Letter: Highlight your interest in data, innovation, and working with Rolls-Royce
- Visit the Careers Page: Apply via the official Rolls-Royce [Careers Portal] or trusted platforms like Talentd
- Submit Your Documents: Upload resume, certificates, and a cover letter
- Prepare for Interviews: Shortlisted candidates may go through online interviews and technical assessments
Apply Now: Click Here
Also apply : Indigo Hiring Freshers 2025 and Tata Data Analyst Online Internship 2025
Conclusion:
The Rolls Royce apprenticeship 2025 is more than just a role it’s a launchpad for your career in AI and engineering. If you’re ready to make your mark at a company driving global innovation, don’t miss this opportunity. Apply now and take your first step toward becoming a future-ready data professional.
