Hexagon's R&D team is pioneering innovations in high-performance computing (HPC), solver intelligence, and machine learning integration across simulation workflows. They are seeking a Data Science Intern to apply data engineering and statistical analysis skills to real-world simulation data and AI-driven workflows.
Requirements
- Experience with Python, SQL, and data wrangling tools.
- Familiarity with ML libraries (scikit-learn, TensorFlow).
Responsibilities
- Clean and preprocess simulation data using Python (Pandas, NumPy).
- Build Dockerized data pipelines for feature engineering and analysis.
- Collaborate with ML engineers to prepare datasets for modeling.
- Contribute to internal dashboards and data-driven insights.
Other
- Enrolled in a Data Science or related graduate program.
- Strong analytical mindset and attention to detail.
- Duration: Summer 2026 (10–12 weeks)
- Workplace Type: Hybrid
- Workplace Details: Novi, MI, Hybrid
