Rolls-Royce is inviting applications for its Data Analytics Internship 2026 at Pune through its MTU business unit. This six-month internship opportunity is designed for BTech, BSc Mathematics, Computer Science, Mechanical, Mechatronics Engineering students and freshers who want hands-on exposure to data analytics, software development, machine learning, and engineering-focused problem solving. The opportunity is particularly suitable for final-year students from engineering, computing, and mathematics backgrounds.

Rolls Royce Internship 2026 Overview
| Company: MTU Rolls-Royce Solutions | |
| Role: Data Analytics Intern | Experience Level: Freshers |
| Location: Pune, Maharashtra | Eligible Batch: 2026, 2027 |
| Job Type: Internship | Stipend: ₹19,000-₹40,000 PM (Expected) |
| Internship Duration: 6 Months | Start and End Dates: July 2026 – December 2026 |
Why this Rolls Royce Data Analytics Internship?
- Opportunity to contribute to real-world engineering and analytics projects.
- Exposure to industry-grade tools and technologies used in global power systems.
- Learn practical applications of machine learning and predictive analytics.
Rolls Royce Data Analytics Internship Description
As a Data Analytics Intern at MTU Rolls-Royce Solutions, you’ll collaborate with cross-functional teams working on advanced engineering and digital solutions. The internship focuses on helping students develop practical expertise in analyzing operational data, building intelligent models, and creating software tools that support equipment performance and reliability.
Key Responsibilities in Data Analyst Internship for Freshers:
- Support data-driven projects related to equipment performance monitoring and operational efficiency.
- Create analytical workflows and software utilities using Python and related technologies.
- Assist in developing predictive solutions using engineering and time-series datasets.
- Participate in process automation initiatives to improve productivity and reduce manual effort.
- Work with technical stakeholders to understand business requirements and convert them into practical software solutions.
- Contribute to testing, validation, and deployment of developed tools.
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Required Skills & Qualifications
Data Analyst Skills Required for Rolls Royce Summer Internship 2026:
- Familiarity with Python programming and problem-solving concepts.
- Exposure to machine learning fundamentals and predictive analytics.
- Understanding of time-series data analysis techniques.
- Working knowledge of algorithms and computational efficiency.
- Interest in software development, automation, and engineering applications.
- Exposure to MATLAB is beneficial.
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Eligibility Criteria for Data Analytics Internship in Rolls Royce
Education: Students pursuing B.Tech, B.Sc. Mathematics, Computer Science, Mechanical Engineering, Mechatronics Engineering, Scientific Computing, or related engineering disciplines.
Batch Year: Fresh graduates from the 2026 and 2027 batches are eligible to apply.
Internship Location: Pune, Maharashtra, India
Perks and Benefits of Rolls Royce Job:
- Opportunity to work with a globally recognized engineering organization.
- Exposure to real industrial analytics and software development projects.
- Hands-on experience with machine learning and predictive maintenance concepts.
- Mentorship from experienced engineering and technology professionals.
Career Growth Opportunities
- Possibility of advancement to roles such as Data Analyst, Data Scientist, Software Engineer, Analytics Engineer, or Reliability Engineer based on performance and business requirements.
- Opportunity to specialize in Python, MATLAB, machine learning, predictive analytics, and industrial data engineering for future roles.
Data Analytics Internship Stipend at Rolls Royce Solutions India
This is a paid internship. Based on market data, the estimated stipend for a Data Analytics Intern at MTU Rolls-Royce Solutions is ₹19,000 – ₹40,000 per month. The final stipend may vary and is decided by the employer.
Practical Advice
Students planning to apply should strengthen their Python programming skills and revise core data structures, algorithms, and machine learning fundamentals. Familiarity with time-series analysis, engineering data interpretation, and automation concepts can help you stand out during assessments and interviews. Practical projects involving predictive analytics or industrial datasets may also strengthen your application.
Interview Process
Based on the available information:
- Application screening.
- Possible online assessment involving cognitive and behavioural aptitude evaluation.
- Further selection stages may be communicated by the company.
How to Apply for the Rolls Royce Data Analyst Internship in Pune
To apply or for more information regarding Data Analytics internship for students, visit the Rolls Royce career page using the following link.
Application Deadline: 3 June 2026
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Frequently Asked Questions (FAQ)
(Q1) Who can apply for this Data Analytics Internship at MTU Rolls-Royce Solutions?
(A1) Students pursuing B.Tech, B.Sc. Mathematics, Computer Science, Mechanical Engineering, Mechatronics, Scientific Computing, or related engineering programs from the 2026 and 2027 batches can apply if they meet the eligibility criteria.
(Q2) What is the stipend for the MTU Rolls-Royce Solutions Data Analytics Internship?
(A2) The estimated stipend for a Data Analytics Intern at MTU Rolls-Royce Solutions is ₹19,000 – ₹40,000 per month. The final stipend may vary and is decided by the employer.
(Q3) Is this MTU Rolls-Royce Solutions internship remote or location-based?
(A3) This internship is location-based and will be conducted on-site in Pune.
(Q4) When does the internship start?
(A4) The internship is scheduled to run from July 2026 to December 2026.
What exactly does MTU Rolls-Royce Solutions do?
MTU Rolls-Royce Solutions is part of the Rolls-Royce Power Systems business. The company develops and supports advanced power generation and propulsion solutions for industries such as marine, infrastructure, and energy. Its portfolio includes diesel engines, gas engines, hybrid technologies, and digital solutions focused on efficiency, reliability, and sustainability.