Intern- Data Analytics

Rolls‑Royce typically conducts a three‑stage interview process: an online aptitude test focusing on quantitative and logical reasoning, followed by a technical interview that probes Python/MATLAB coding, data‑analysis concepts, and problem‑solving ability. The final HR round assesses cultural fit, communication skills, and motivation. Candidates report moderate difficulty and recommend practicing time‑series ML and clear articulation of project experiences.

Rolls‑Royce promotes a collaborative and safety‑first environment where innovation is encouraged and diverse perspectives are valued. Employees benefit from structured career development, global mobility options, and a balanced approach to work‑life integration.

Final year B.Tech/M.Tech/M.Sc students in Mechanical, Mechatronics, Computer Science, Mathematics, Statistics, Data Science or related engineering disciplines; minimum CGPA/percentage 6.5/70%; no active backlogs; strong analytical mindset and willingness to learn.

Round 1: Online Aptitude & Logical Reasoning Assessment → Round 2: Technical Interview (coding, data‑analytics concepts) → Round 3: HR Interview (behavioural fit and motivation)

Rolls‑Royce is a global engineering powerhouse renowned for its high‑performance power systems, from aerospace engines to marine and industrial propulsion solutions. With a heritage spanning more than a century, the company has consistently driven innovation in areas such as digitalisation, electrification, and sustainable energy. Its Power Systems division, under the MTU brand, delivers cutting‑edge diesel, gas and hybrid power solutions to customers worldwide, supporting critical infrastructure, marine vessels, and emerging mobility platforms. The corporate culture emphasizes safety, integrity, simplicity, and making a tangible difference – values that shape every project and employee experience. The Emerging Talent programme offers fresh graduates a chance to work on real‑world challenges alongside seasoned engineers and data scientists. As an Intern‑Data Analytics, you will be immersed in the development and deployment of analytical functions using MATLAB and Python, focusing on condition monitoring and failure analysis of emission‑reduction equipment for high‑power diesel engines. You will also automate existing workflows, create Windows‑based tools, and contribute to predictive modelling initiatives that enhance reliability and efficiency across the product lifecycle. Key responsibilities include: 1. Designing and implementing analytical algorithms in MATLAB and Python for engine condition monitoring. 2. Building and validating predictive models using time‑series machine‑learning techniques. 3. Automating data‑processing pipelines to reduce manual effort and improve accuracy. 4. Developing Windows utilities to support engineering teams. 5. Collaborating with cross‑functional stakeholders to translate business requirements into technical solutions. 6. Conducting performance testing and optimisation of code for time and space efficiency. 7. Documenting methodologies, results, and best practices for knowledge sharing. 8. Presenting insights and recommendations to senior engineers and managers. 9. Assisting in the integration of analytical tools into the broader digital ecosystem of Rolls‑Royce. 10. Staying updated with emerging data‑science trends and proposing innovative applications. The tech stack revolves around Python (pandas, NumPy, scikit‑learn), MATLAB, SQL for data extraction, and basic Windows scripting. Familiarity with version control (Git) and cloud platforms (Azure/AWS) is advantageous. Successful interns can expect a clear growth path: high‑performing interns may receive full‑time offers, progress to Analyst or Engineer roles, and later move into senior data‑science or product‑development positions within the global Rolls‑Royce network. Joining Rolls‑Royce means exposure to world‑class engineering projects, mentorship from industry leaders, and the chance to contribute to sustainable power solutions that impact millions of lives.