Data Scientist
Rolls-Royce
2 - 5 years
Mangalore
Posted: 04/06/2026
Job Description
Job Description
Data Scientist
JR6155302
Bengaluru, KA
Why join Rolls-Royce?
At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere.
By joining Rolls-Royce, you'll have the opportunity to work on world-class solutions, supported by a culture that believes individuality is our greatest strength, and all perspectives, experiences and backgrounds help us innovate and enable our high-performance culture
Summary
We are seeking a motivated and enthusiastic Data Scientist or AI Engineer to join our dynamic team at Rolls-Royce Data Labs. In this role, you will work alongside experienced engineers and data scientists to develop and implement AI solutions that address real-world challenges in the aerospace industry. This is an excellent opportunity for recent graduates or individuals with relevant experience to kickstart their careers in artificial intelligence and data analytics
Key Accountabilities
- Assist in the design, development, and deployment of AI models and algorithms to solve complex engineering problems.
- Collaborate with cross-functional teams to gather requirements and understand business needs.
- Conduct data analysis and pre-processing to prepare datasets for model training and evaluation.
- Support the testing and validation of AI models to ensure accuracy and reliability.
- Document processes, methodologies, and results to maintain clear communication within the team.
- Stay updated on the latest trends and advancements in AI and machine learning technologies.
Key skills and Technical Competencies
- Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
- Familiarity with Python, Azure technology stack and use of GenAI frameworks in the platform.
- Deep understanding of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data manipulation and analysis using tools like Pandas, NumPy, or SQL.
- Strong problem-solving skills and a willingness to learn new technologies.
- Excellent communication and teamwork abilities.
- Internship or project experience in AI, language modelling and data science.
- Certifications in cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Understanding of data visualization tools (e.g., PowerBI, Matplotlib) is advantageous.
We are an equal opportunities employer. We’re committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives which are crucial to innovation and problem solving. We believe the more diverse perspectives we have, the more successful we’ll be. By building a culture of caring and belonging, we give everyone who works here the opportunity to realize their full potential.
You can learn more about our global Inclusion strategy at Our people | Rolls-Royce
As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided.
Job Category
DigitalPosting Date
02 Jun 2026; 00:06About Company
Rolls-Royce is a renowned British multinational engineering company that specializes in manufacturing high-performance power systems, including aircraft engines, marine propulsion systems, and energy solutions. Established in 1906, the company is famous for its luxury automobiles, but its core business today is focused on aerospace, defense, and power systems. Rolls-Royce is a leading supplier of aircraft engines for commercial and military aircraft, and its innovations in turbine technology are highly regarded worldwide. The company is committed to delivering sustainable and efficient solutions that power the next generation of aerospace and energy technologies.
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