Job Summary:
Volvo Group is committed to shaping sustainable transport solutions for the future. As a Data Science Co-op within the CV-FAST team, you will analyze complex vehicle data to support data-driven development and improve product performance through collaboration with engineers and data scientists.
Responsibilities:
• Work with engineers and data scientists to analyze simulation, test, and vehicle data to identify trends, anomalies, and improvement opportunities
• Clean, transform, and structure raw datasets to make them usable for analysis and modeling
• Develop and maintain data pipelines, scripts, and notebooks to automate repetitive analysis tasks
• Create dashboards and visualizations to communicate key insights to engineering teams and stakeholders
• Use AI-assisted tools to accelerate data exploration, generate code, and improve productivity
• Support the validation of data and models to ensure accuracy, robustness, and reproducibility
• Participate in team standups, technical discussions, and cross-functional collaboration to align on priorities and deliverables
• Build predictive models using vehicle and test data to identify potential performance issues or trends
• Develop AI-assisted tools or workflows (e.g., automated reports, insight generation, or data analysis pipelines) to improve engineering efficiency
• Analyze data from vehicle simulations and physical testing to support correlation and improve product validation strategies
• Support the development of digital twin or simulation-driven analytics capabilities by ensuring high-quality, structured data inputs
• Create or enhance Power BI or Streamlit applications that enable engineers to explore and interact with data more effectively
• Contribute to projects that automate or modernize engineering processes, reducing manual work and improving consistency
• Experiment with machine learning or generative AI techniques to improve how insights are generated and communicated
• Help improve the speed and quality of engineering decisions through better data and insights
• Enable more efficient verification & validation processes through data-driven approaches
• Contribute to Volvo’s broader digitalization and AI transformation within product development
Qualifications:
Required:
• Currently enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Engineering, Statistics, or a related field
• Applicants must have a minimum cumulative grade point average of 2.75
• Co-ops are not enrolled in academic courses during their co-op rotation and may work up to 40 hours per week
• Hands‑on experience with programming for data analysis (e.g., Python, SQL)
• Basic understanding of statistics, data analysis, and machine learning concepts
• Familiarity with AI/ML workflows, including data preparation, feature engineering, model training, and evaluation
• Exposure to Generative AI or AI-assisted tools (e.g., using AI for coding, analysis, or automation)
• Experience working with datasets (cleaning, structuring, analyzing data)
• Strong problem‑solving skills and ability to communicate findings clearly
• Ability to validate outputs and ensure data quality, accuracy, and reproducibility
• Ability to work collaboratively in a team environment and learn in a fast‑paced setting
Preferred:
• Experience with data visualization tools (e.g., Power BI, matplotlib, plotly)
• Exposure to machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch)
• Familiarity with modern AI concepts (e.g., prompt engineering, embeddings, or retrieval‑based approaches)
• Experience building AI-assisted workflows or lightweight tools (automation scripts, dashboards, or applications)
• Familiarity with data pipelines, automation, or scripting workflows
• Experience working with engineering, simulation, or test data
• Interest in automotive, transportation, or heavy‑duty vehicle systems
• Exposure to cloud platforms, databases, or big data tools
• Experience contributing to projects involving AI, analytics, automation, or dashboards
Company:
Volvo Group is a manufacturer of trucks, buses, construction equipment, and marine and industrial engines. Founded in 1927, the company is headquartered in Gothenburg, SWE, with a team of 10001+ employees. The company is currently Late Stage.