Rolls Royce is hiring for a FRESHER entry level Data Scientist role in India

Position:
• Entry Level Data Scientist
• Entry Level AI Engineer
• Early career role focused on applied artificial intelligence
• Role designed for fresh graduates and early professionals
• Hands on technical position within a core digital team
• Opportunity to work on real engineering and industrial use cases
• Focus on translating data into practical outcomes

Company:
• Rolls Royce
• Global engineering and industrial technology organization
• Known for advanced engineering systems across aviation, marine, and power solutions
• Operates dedicated data and digital innovation units
• Strong emphasis on research driven problem solving
• Employer with a long legacy of engineering excellence
• Organization that integrates digital intelligence into physical systems

Location:
• Bangalore
• India
• Work location aligned with digital and analytics hubs
• City known for strong technology and engineering talent
• Exposure to global teams and stakeholders
• Based in a major operational center for digital roles

Job type:
• Full time
• Permanent role
• Core organizational position
• Entry level hiring
• Designed for long term growth

Job mode:
• Onsite
• Office based collaboration
• Work alongside engineers and data professionals
• Structured team environment

Job requisition id:
• JR6146139

Years of experience:
• Fresher friendly role
• Entry level position
• Suitable for candidates with internship or academic project exposure
• No mandatory full time experience required

Company description:
• Rolls Royce is a globally recognized engineering company with a strong focus on innovation and responsible technology development
• The organization operates across aerospace, marine, and energy sectors, delivering advanced systems that support transportation, defense, and power generation
• The company has built its reputation through decades of engineering leadership and consistent investment in research and development
• Rolls Royce places a strong emphasis on digital transformation, using data driven methods to improve efficiency, safety, and performance across products
• Its digital teams work closely with engineering groups to integrate artificial intelligence into complex physical systems
• The company fosters a culture of accountability, ethical decision making, and long term thinking
• Safety, integrity, and teamwork are deeply embedded into everyday operations
• Rolls Royce supports learning and development for early career professionals through exposure to real world challenges
• Employees contribute to projects that have global impact and practical significance
• The organization values collaboration across disciplines and geographies
• Sustainability and responsible innovation guide product and technology decisions
• Rolls Royce continues to invest in analytics, machine learning, and automation to strengthen its future capabilities

Profile overview:
• This role is designed for individuals beginning their professional journey in data science or artificial intelligence
• The position sits within Rolls Royce Data Labs, a team focused on solving applied engineering problems using advanced analytics
• The selected candidate will work closely with experienced data scientists, engineers, and domain specialists
• The role emphasizes learning by doing, with exposure to model development, validation, and deployment
• Candidates will contribute to projects that support decision making and operational improvement
• The position involves working with structured and unstructured data from engineering systems
• Responsibilities include assisting in building predictive and analytical models
• The role supports experimentation, iteration, and continuous improvement
• Strong emphasis is placed on collaboration and communication across teams
• The candidate will gain experience with enterprise level data platforms
• Exposure to real production environments is a core part of the role
• The position encourages curiosity and independent problem solving
• This role offers a strong foundation for long term growth in data science or AI engineering
• The work environment supports learning, feedback, and skill development
• The role aligns technical work with real business and operational outcomes

Qualifications:
• Bachelor degree in computer science, data science, engineering, mathematics, or a related discipline
• Academic background with exposure to programming and analytical thinking
• Understanding of machine learning concepts such as supervised and unsupervised learning
• Familiarity with Python for data analysis and model development
• Awareness of cloud platforms, particularly Azure based tools
• Exposure to data processing libraries such as Pandas and NumPy
• Basic knowledge of SQL for data querying and manipulation
• Familiarity with machine learning frameworks used in applied projects
• Understanding of model evaluation and validation concepts
• Exposure to data visualization concepts for insights communication
• Internship experience or academic projects in data science or AI are beneficial
• Understanding of language models and applied AI use cases is helpful
• Willingness to continuously learn and adapt to new tools
• Ability to apply theoretical knowledge to practical problems
• Strong analytical reasoning and logical thinking skills

Additional info:
• The organization follows a structured hiring and assessment process
• Some candidates may be required to complete online assessments
• Assessments may include cognitive and behavioral evaluation
• The role operates within a strong safety focused environment
• Safety of people and systems is always prioritized
• Employees are encouraged to speak up and support one another
• Ethical conduct and integrity are core expectations
• Feedback and open communication are part of daily work culture
• Teams are encouraged to keep processes simple and effective
• Innovation is driven through collaboration and shared ownership
• Employees are expected to think about the impact of their work
• Focus is placed on delivering meaningful and efficient outcomes
• Continuous improvement is encouraged at all levels
• The role supports professional growth through hands on exposure
• Employees work on systems that affect global operations

Please click here to apply.