Data Analysis and Simulation Co-op/Intern- Summer 2026 at Honda Dev. and Mfg. of Am.,LLC

Raymond, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

30.21

Posted On

03 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, Computational Modeling, Predictive Modeling, Data-Driven Insights, Computational Simulations, Data Collection, Data Organization, Trend Analysis, Process Improvement, Collaboration, Cross-Functional Teams, Automation, Coding Solutions, Report Writing, Presentation Skills

Industry

Motor Vehicle Manufacturing

Description

Data Analysis and Simulation Co-op/Intern- Summer 2026 This job description reflects potential openings for the Summer 2026 Co-op/Internship Session (May-August). This is a general job description and represents multiple openings in various departments. Honda offers both single and multi-semester co-ops and internships. College students must apply to the requisition pertaining to their major and semester of interest. Please note: Sponsorship for employment visa status for these positions is unavailable. Applicants requiring sponsorship for employment visa status now or in the future (e.g., F-1 CPT/OPT, H-1B, TN, etc.) will not be considered. More about the Data Analysis and Simulation Co-op/ Intern at Honda The below descriptions reflect potential environments and duties within our various Engineering Data Analytics Co-op/Intern positions that we offer. Work environments and projects may include but are not limited to: Data Analysis and Simulation (Data Science, Machine Learning, Computational Modeling): Develop and implement algorithms for data analysis, machine learning and simulation. Support design, test, and new model groups with data-driven insights and predictive modeling. Conduct computational simulations to predict material and part behavior and performance. Collect, organize, and analyze large datasets to identify trends and correlations. Summarize analysis results in report form and present findings to internal or external stakeholders. Analyze current processes and identify automation or coding solutions for process improvement. Collaborate with cross-functional teams to integrate modeling results into product development What you need to be successful in this role Required: Legally authorized to work in the U.S. without sponsorship Basic Business coursework Minimum 2.5 Cumulative GPA or higher (You will be required to provide your current transcript) Class status- Sophomore (by credit hour) or above Availability to work a minimum of 10 weeks at 40 hours per week Enrollment in a Bachelor's or Master's degree program studying Computer Science, Materials Science Engineering, Data Science Valid U.S. Driver's License (exceptions considered on a case-by-case basis) Ability to secure own transportation to and from work each day *Public transportation and ride share services are limited in some of our locations. Co-ops are responsible for securing their own transportation to and from work each day, and must have a reliable plan for transportation in order to be eligible for a position. Regular in-person attendance is required, and transportation issues will not be excused. Desired: Computer Science, Information Systems, Data Science and Analytics, Data Engineering, Programming, Statistics, Artificial Intelligence, Materials Science, Machine Learning, Finite Element Analysis Position Location Data Analysis and Simulation Co-op/ Intern positions are offered in the cities/ states listed below, if you are selected to move forward in the process, you will be given the opportunity to make selections on your location preferences: Raymond, Ohio (45 minutes northwest of Columbus, Ohio) Marysville, Ohio (45 minutes northwest of Columbus, Ohio) Honda Co-operative and Learning Internships Program Benefits Housing Accommodations: Honda offers housing at a shared cost or a housing stipend based on location for our Co-ops and Interns. It is not required to opt-in to but is available should you need housing at the time of your Co-op/ Internship with Honda. Textbook Reimbursement: If applicable. Honda Business Resource Groups: One of the ways Honda gives diversity a voice is through its business resource groups. The associate-led, company-supported groups have members aligned across different dimensions of diversity such as gender, ethnicity, ability, life stage and experiences. The groups provide networking opportunities, a chance to give back and professional development. Some groups have even given feedback on Honda products, making them more appealing to all. Embracing all views is what will drive us into the future. Honda wants passionate, driven people to be a part of that future. Performance Feedback: Honda Co-ops and Interns will have the opportunity to receive informal and formal feedback from their leaders, ask questions and express future interest in a scheduled mid-term and final evaluation. Mentorship: Each Co-op/ Intern is assigned a mentor in your department to help you navigate your time at Honda. On-site Wellness Center: Co-ops and Interns have access to join our Wellness Centers (varies by location). Our Wellness Centers are full gyms equipped with cardio machines, weights, basketball courts, pools, dieticians, personal trainers and group fitness classes. Paid overtime: Co-ops and Interns will receive 1.5 times their hourly rate of pay for any overtime worked. Hourly Wage Range: $23.35-$30.21 Pay will be based on several variables that include, but not limited to, geographic location, work experience, education, etc. Consideration for full time employment: Our Cooperative Learning Internships program is utilized as a talent pipeline for our full-time positions! Additional details regarding Honda Co-op and Intern benefits are provided upon offer.

Responsibilities

The role involves developing and implementing algorithms for data analysis and machine learning, as well as conducting computational simulations to predict material and part behavior. Interns will also summarize analysis results and present findings to stakeholders.