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Role: Intern – Automation & Digital
Location: Pune, India
Job Type: Temporary (Fixed Term, 6 months)
Job ID: JR6144352
Experience Level: Internship (Students / Entry Level)
Segment: Data Analytics & Automation
Business Unit: Power Systems – MTU Brand
Job Summary
Rolls-Royce is offering a 6-month internship in Automation & Digital for students pursuing a bachelor’s degree in Computer Science or related fields. As a Data Analytics Intern, you will work on real-world datasets to build predictive models, automate processes, and develop solutions that enhance system reliability and efficiency. This role offers hands-on experience in statistical modeling, script development, and data-driven decision-making in a collaborative environment.
Key Responsibilities
- Review literature and develop scripts/algorithms for defined research projects.
- Conduct data analysis, statistical modeling, and trend analysis.
- Develop predictive maintenance models and implement alert systems.
- Automate data logger commissioning tasks.
- Create models focused on reliability, life cycle cost, and reuse rate.
- Collaborate with cross-functional teams to share solutions and best practices.
Qualifications & Skills
- Currently pursuing a bachelor’s degree in Computer Science or related discipline.
- Strong programming skills with data structures, algorithms, and logic.
- Experience in MATLAB, C programming, Python (mandatory), JavaScript, Selenium desktop automation, and MS SQL.
- Ability to debug existing code and analyze data trends.
- Team-oriented with strong collaboration skills.
- Proactive, persistent, innovative, and able to work independently.
About Rolls-Royce
Rolls-Royce is a global leader in power systems, delivering high-performance solutions for marine and infrastructure sectors through its MTU brand. Focused on innovation, digitalization, and electrification, the company designs reliable systems powered by advanced technologies. Rolls-Royce fosters an inclusive workplace where diverse perspectives drive progress and creativity.
Why Join Us?
- Opportunity to work on impactful, real-world projects with cutting-edge technology.
- Gain hands-on experience in data analytics and predictive modeling.
- A supportive and collaborative work environment with opportunities for professional growth.
- Be part of a respected global organization shaping future innovations in power systems.
How to Apply
Note: Only shortlisted candidates will be contacted.
Disclaimer: This job post is for informational purposes only. The company reserves the right to modify, withdraw, or close the position at any time without prior notice. Applicants are advised to verify details through the official company channels before applying.
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