Co-op: Engineering, Data Science (Fall 2026)
About The Position
The Complete Vehicle Features, Analysis, and Simulation Team (CV-FAST) within Volvo Group North America's Complete Vehicle (CV) organization is seeking a Data Science Co-op. This role contributes to the transformation of the company, the transport industry, and society by turning complex vehicle and engineering data into actionable insights. The co-op will work with data from simulations, testing, and connected vehicles to support analysis, modeling, and decision-making that enhances product performance, efficiency, and customer value. Collaborating with engineers and digital teams, the co-op will help build data pipelines, develop analytics and machine learning solutions, and enable modern digital workflows, accelerating the shift towards simulation-driven and data-driven development practices.
Requirements
- Currently enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Engineering, Statistics, or a related field
- 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
Nice To Haves
- 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
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
Benefits
- Housing assistance, when applicable
- Countless career opportunities / internal mobility across our global organization
- Training and personal development
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
