Overview
About the Role
Transport is central to modern society, and Volvo Group works on solutions that improve sustainable mobility and infrastructure. The organization focuses on developing efficient, safe, and sustainable transport systems through advanced technologies and collaborative engineering teams.
Joining this program provides an opportunity to work with Volvo Group’s global teams while contributing to real-world engineering projects. Teams across the Trucks Technology & Industrial Division collaborate closely with customers and focus on building practical solutions that deliver measurable impact.
About Volvo Group
Volvo Group develops transport and infrastructure solutions that support economic growth and sustainable mobility. The company operates globally with a workforce of nearly 100,000 people and encourages collaboration, inclusiveness, and innovation across its engineering teams.
This apprenticeship opportunity is offered under the National Apprenticeship Training Scheme (NATS), allowing engineering graduates to gain hands-on industry experience while working alongside experienced professionals on practical engineering challenges.
Key Skills and Knowledge Areas
- Strong understanding of strength of materials and solid mechanics.
- Knowledge of CAE tools such as ANSA, HyperMesh, and Nastran.
- Working knowledge of Python, SQL, and data analysis techniques.
- Exposure to data science or AI/ML concepts is beneficial.
- Understanding of statistical methods applied to engineering problems.
- Interest in CAE simulation, engineering analytics, and data-driven decision making.
- Familiarity with meshing, model setup, load application, boundary conditions, and interpretation of simulation results.
Roles and Responsibilities
- Automate CAE workflows and simulation data processing using Python, SQL, Pandas, and NumPy to improve engineering productivity.
- Analyze simulation outputs and historical datasets to identify patterns and enhance predictive durability methods.
- Create dashboards and visualizations using Power BI, Tableau, Matplotlib, and Excel to support engineering insights and decision making.
- Apply statistical analysis, predictive modeling, and basic machine learning techniques to improve durability prediction accuracy.
Program Duration: As defined by National Apprenticeship Training Scheme (NATS) guidelines.
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Education Requirements
- B.E. or B.Tech in Mechanical Engineering or Automobile Engineering
Eligible Batch Years
Volvo
Volvo is a globally recognized Swedish multinational corporation specializing in the design, manufacture, and distribution of vehicles, machinery, and related services. Founded in 1927 in Gothenburg, Sweden, Volvo has grown into a major player in the automotive and heavy equipment industries, with a strong reputation for safety, quality, and environmental stewardship. The company operates through several divisions, including Volvo Trucks, Volvo Cars (now owned by Geely Holding Group), Volvo Construction Equipment, and Volvo Penta, serving customers across more than 190 markets worldwide.
With over 100,000 employees, Volvo's mission is to drive prosperity through transport and infrastructure solutions, focusing on innovation, sustainability, and customer satisfaction. The brand is widely regarded for pioneering safety features and advancing eco-friendly technologies, such as electric and hybrid drivetrains. Recent achievements include significant investments in electrification and autonomous vehicle research, as well as partnerships aimed at reducing carbon emissions across its supply chain. Volvo continues to maintain a strong market position as a trusted name in both commercial and consumer vehicle segments.
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Websitevolvo.com