Graduate Intern - Modeling and Data Science
Core
Develop next-generation digital engineering capabilities at the intersection of engineering simulation, software development, and data science to accelerate filtration product development.
Role type
Graduate Intern, Modeling and Data Science
Builds
Python-based engineering workflows, deep-learning surrogates, reduced-order models, and parameterized geometry workflows for simulation.
Domain
Industrial filtration, engineering simulation, data science
Deliverable
production ML models
Required skills
Python, data analysis, numerical methods, machine learning, scientific computing, data engineering, version control, technical documentation
Preferred skills
computational fluid dynamics, deep learning, reduced-order modeling, SQL, cloud data warehouses, CAD, 3D scanning, AI-assisted development tools
Technologies
Python, Git, GitHub Copilot, SQL, Snowflake, Streamlit
Responsibilities
Own scoped technical projects from definition to final recommendations; build and evaluate Python-based workflows; prepare and analyze simulation or laboratory datasets; develop and test models or applications; compare simulation and laboratory results; collaborate with engineers and data scientists; document architecture and methods; provide progress updates and communicate findings.
Seniority
Intern