Graduate Intern - Modeling and Data Science

Posted 2 Days Ago
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Bloomington, MN, USA
In-Office
29-32 Hourly
Internship
Logistics • Other
The Role
Graduate intern supporting filtration research and product development through Python-based engineering workflows, data preparation, simulation analysis, machine learning models, parameterized geometry, and technical documentation. The role involves collaborating with engineers and data scientists, evaluating simulation and laboratory results, developing reproducible applications, and communicating findings. Work is on-site in Bloomington, Minnesota, with travel of up to 5%.
Summary Generated by Built In

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.

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.


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.

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.

Donaldson Company has been made aware that there are several recruiting scams that are targeting job seekers.  These scams have attempted to solicit money for job applications and/or collect confidential information, Donaldson will never solicit money during the application or recruiting process.  Donaldson only accepts online applications through our Careers | Donaldson Company, Inc. website and any communication from a Donaldson recruiter would be sent using a donaldson.com email address.  If you have any questions about the legitimacy of an employment opportunity, please reach out to [email protected] to verify that the communication is from Donaldson.

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.

Skills Required

  • 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 a U.S. person: U.S. citizen, permanent resident, political asylee, or refugee.
  • Graduate-level study or research experience in computational fluid dynamics, machine learning, scientific computing, or data engineering.
  • Experience with deep learning for spatial or high-dimensional data and neural network model training.
  • Experience with CFD software and flow-field data.
  • Experience with 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.
  • Experience with CAD, parameterized 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 and convert them into a clear technical scope.
  • Strong problem-solving, technical communication, collaboration, and ability to work through open-ended development problems.

Donaldson Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Donaldson Company and has not been reviewed or approved by Donaldson Company.

  • Retirement Support — Retirement programs like a 401(k) match, profit-sharing, and an employee stock purchase plan are positioned as meaningful components of total compensation. Company materials consistently frame retirement benefits within a broader Total Rewards offering.
  • Healthcare Strength — Medical, dental, vision, and a 24/7 Employee Assistance Program with mental‑health resources create a comprehensive health and wellbeing package. Healthcare is often characterized as decent and a core strength of the overall offering.
  • Leave & Time Off Breadth — Paid time off, holidays, and paid parental leave are explicitly included, alongside other company‑paid leaves such as bereavement, jury duty, and military leave. Some locations highlight multi‑week PTO from the first year, underscoring breadth of leave options.

Donaldson Company Insights

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The Company
HQ: Minneapolis, MN
14,000 Employees
Year Founded: 1915

What We Do

Donaldson Company helps solve some of the world's most complex filtration and contamination control challenges, and is one of the largest global providers of unique filtration technologies and high-quality filters and parts. Our filtration technologies and products are used every day, in a variety of industries and environments, including aerospace, agriculture, construction, food and beverage, manufacturing, mining, power generation, transportation and many more. Key to our success, our 14,000 employees support customers at sales, manufacturing and distribution centers from over 140 locations on six continents. The filtration market continues to grow. Customers'​ needs for filtration solutions continue to evolve. And the opportunities for our products and our people continue to expand.

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