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Rolls-Royce Internship 2025 | Data Analytics Intern – Apply Now!

  • Writer: Fresh Job Hunt
    Fresh Job Hunt
  • Jun 13
  • 2 min read
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Location: Pune, India


Duration: 6 Months


Role: Data Analytics Intern


Qualification: B.E/B.Tech/M.E/M.Tech/MS (Final Year)


Stipend: Best in Industry


Experience: Freshers Eligible


Deadline: Apply before the link expires



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Eligibility Criteria:

  • Final-year students pursuing B.E/B.Tech/M.E/M.Tech/MS in Computer Science, IT, Electronics, Mechatronics, or related fields

  • Strong hands-on skills in Python, R, Java

  • Solid foundation in data structures, algorithms, and statistics

  • Exposure to ML/AI and cloud computing (Azure, Databricks) is a plus

  • Knowledge of PySpark/Spark, Hadoop 2.0, and stream processing preferred

  • Willingness to work in agile, collaborative environments

About Rolls-Royce:

At Rolls-Royce, we look beyond tomorrow. As pioneers in integrated power and propulsion, we deliver cleaner, safer, and more competitive power solutions. With a strong global presence, Rolls-Royce Power Systems (MTU brand) provides high-speed engines and propulsion systems for marine, defense, rail, and power generation applications. Headquartered in Friedrichshafen, Germany, we employ over 9,000 innovators worldwide.


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Internship Overview – Data Analytics Intern:

Work on impactful projects in data science, reliability modeling, and automation for real-world industrial systems. As a Data Analytics Intern at Rolls-Royce, you’ll be at the heart of predictive analytics and digital transformation for power infrastructure.

Key Responsibilities:

  • Conduct data analysis and statistical research for defined use cases

  • Develop scripts, algorithms, and predictive models

  • Automate commissioning processes using scripting tools

  • Build models for reliability, life cycle cost, and reuse rates

  • Implement alarm systems and dashboards for predictive maintenance

  • Work in a collaborative, agile development environment

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Why Join Rolls-Royce?

  • Exposure to real-world industrial data and advanced analytics

  • Hands-on mentorship from global experts

  • Culture of continuous learning and innovation

  • Opportunity to contribute to cutting-edge sustainable technology


Apply Now:

For more details and to apply: Click here 

 

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