Graduate Intern - Modeling and Data Science

Donaldson; BLOOMINGTON (MN); On-site; USD 40,000 - 44,000; Full time

Job summary

Donaldson's Modeling and Data Science graduate-level internship in Bloomington, MN offers hands-on experience at the intersection of engineering simulation, software development, and data science. You will develop Python-based workflows, analyze datasets, and contribute to next-generation digital engineering tools under mentorship.

Responsibilities include ownership of a scoped project from problem definition to recommendations, collaboration with engineers and data scientists, and documenting

Qualifications

• Currently pursuing a graduate degree in mechanical engineering, aerospace engineering, computer science, data science, data engineering, applied mathematics, or a related technical field.
• Coursework or project experience using Python for data analysis, numerical methods, machine learning, scientific computing, or application development.
• Experience working with technical datasets and communicating methods and results through written documentation or presentations.
• Must be U.S. persons (U.S. Citizen, U.S. Permanent Resident, etc.).

Responsibilities

• Own a scoped technical project from problem definition to development and final recommendations.
• Build and evaluate Python‑based engineering or data‑science workflows using version‑controlled, reproducible methods.
• Prepare, clean, validate, and analyze simulation or laboratory datasets; document data quality issues and assumptions.
• Develop and test models or applications such as deep‑learning surrogates, reduced‑order models, data‑ingestion tools, or parameterized geometry workflows.
• Develop a parameterized geometry workflow for simulation setup, simulation execution, and results evaluation.
• Compare simulation results, laboratory results, or baseline engineering methods using appropriate technical metrics or baseline engineering methods.
• Collaborate with simulation engineers, data scientists, and subject‑matter experts to interpret practical requirements.
• Document architecture, methods, assumptions, and recommended next steps so the work can be extended after the internship.
• Provide progress updates, incorporate technical feedback, and communicate findings to both technical and non‑technical stakeholders.
• Follow Donaldson requirements for data access and security.

Skills

Python

Machine learning

Education

Graduate degree in mechanical engineering, aerospace engineering, computer science, data science, data engineering, applied mathematics, or related technical field

Tools

Git

SQL

Snowflake

Streamlit

Job description

Donaldson is committed to solving the world’s most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities.

The Modeling and Data Science Graduate Level Intern will help advance practical engineering and data solutions for filtration research and product development. Working with the Modeling and Data Science team, the graduate level intern will gain valuable hands‑on experience at the intersection of engineering simulation, software development, data engineering, and data science by developing next‑generation digital engineering capabilities that help accelerate innovation and product development at Donaldson.

The Donaldson internship program provides innovative students with meaningful, hands‑on experience in a collaborative industry environment. Through real‑world projects, mentorship, and development opportunities, we aim to support career growth and build professional talent aligned with our values and goals.

Qualified candidates must be able to work an on‑site schedule at our Bloomington, MN facility.

Role Responsibilities:

• Own a scoped technical project from problem definition to development and final recommendations.
• Build and evaluate Python‑based engineering or data‑science workflows using version‑controlled, reproducible methods.
• Prepare, clean, validate, and analyze simulation or laboratory datasets; document data quality issues and assumptions.
• Develop and test models or applications such as deep‑learning surrogates, reduced‑order models, data‑ingestion tools, or parameterized geometry workflows.
• Develop a parameterized geometry workflow for simulation setup, simulation execution, and results evaluation.
• Compare simulation results, laboratory results, or baseline engineering methods using appropriate technical metrics or baseline engineering methods.
• Collaborate with simulation engineers, data scientists, and subject‑matter experts to interpret practical requirements.
• Document architecture, methods, assumptions, and recommended next steps so the work can be extended after the internship.
• Provide progress updates, incorporate technical feedback, and communicate findings to both technical and non‑technical stakeholders.
• Follow Donaldson requirements for data access and security.

Travel: Up to 5%.

Minimum Qualifications:

• Currently pursuing a graduate degree in mechanical engineering, aerospace engineering, computer science, data science, data engineering, applied mathematics, or a related technical field.
• Coursework or project experience using Python for data analysis, numerical methods, machine learning, scientific computing, or application development.
• Experience working with technical datasets and communicating methods and results through written documentation or presentations.
• Must be U.S. persons (U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee).

Preferred Qualifications:

• Graduate-level study or research experience in computational fluid dynamics, machine learning, scientific computing, or data engineering.
• Experience or project work in any subset of these areas:
• Deep-learning methods for spatial or high-dimensional data, including designing neural networks architectures and training models using structured datasets.
• CFD software and flow‑field data, including pressure, velocity, pressure‑drop, or particle‑transport results.
• Reduced‑order modeling, surrogate modeling, regression, validation, uncertainty analysis, or model performance metrics.
• Experience with SQL, Snowflake or another cloud data warehouse, Streamlit, data validation, and layered data pipelines.
• CAD, parameterizing geometry, 3D scanning, or scan‑to‑CAD workflows.
• Familiarity with Git, software architecture, or AI‑assisted development tools such as GitHub Copilot.
• Ability to gather requirements from engineers or laboratory users and convert them into a clear technical scope.
• Strong problem‑solving, technical communication, collaboration, and ability to work through an open‑ended development problem.

Immigration Sponsorship Not Available:

• Applicants for this position must be currently and legally authorized to work in the United States without the need for current or future sponsorship (e.g., H-1B, J-1, F-1, CPT, OPT, etc.).
• Donaldson will not offer immigration sponsorship or assume sponsorship of an employment visa for this position.
• International relocation or remote work arrangements outside of the U.S. will not be considered.

Relocation: This position is not eligible for relocation assistance.

Hourly Pay Rate: $29.00 - 32.00, depending on projected undergraduate graduation date, educational degree in progress and major of study upon time of hire.

This position is overtime eligible as per state and federal regulations.

Employee benefits are part of the total rewards package that Donaldson Company, Inc. provides to you. Our benefits program includes retirement plan (401k), paid time away – sick and safe time (MN only), and the employee assistance program.

Equal Opportunity Employer, including Disability and Veterans

Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.