Graduate Apprentice Trainee

Responsibilities

• Automate CAE workflows and simulation data processing using Python, SQL, Pandas, and NumPy to improve engineering efficiency
• Analyze simulation and historical data to identify trends and enhance predictive durability methodologies
• Develop dashboards and visualizations using Power BI, Tableau, Matplotlib, and Excel for engineering insights and decision making
• Apply statistical analysis, predictive modelling, and basic machine learning techniques to improve durability prediction accuracy

Requirements

• B.Tech / B.E. in Automobile Engineering or Mechanical Engineering
• Graduation year: 2023, 2024, or 2025/2026
• Strong fundamentals in Strength of Materials and Solid Mechanics
• Knowledge of CAE tools such as ANSA, Hypermesh, and Nastran
• Intermediate knowledge of Python, SQL, and Data Analysis techniques
• Eligibility for the National Apprenticeship Training Scheme (NATS)

Preferred Qualifications

• Exposure to Data Science and AI/ML
• Understanding of meshing, model setup, load application, boundary conditions, and result interpretation
• Knowledge of statistical methods for engineering applications

About the Company

Volvo Group is driving prosperity through transport and infrastructure solutions, shaping the future of sustainable mobility. We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions, working with next-gen technologies to leave our society in better shape for the next generation.