1

Internship Software Engineer Applied Math Jobs in Mason, MI

Java Developer

Lansing, MI · On-site

$51.75 - $67/hr

Application Software Engineer Level 3 Location : Lansing, MI Duration : 10+months Only w2 Candidate ... An undergraduate degree in a technical field such as mathematics, computer science, electrical ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Internship postings can be found here: Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software applications for new and existing systems. The position ...

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Internship postings can be found here: Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software applications for new and existing systems.The position ...

Apply civil engineering principles and specialized design software to support high-quality ... Internship or bridge design experience with working knowledge of AASHTO LRFD Bridge Design ...

New

Apply civil engineering principles and specialized design software to support high-quality ... Internship or bridge design experience with working knowledge of AASHTO LRFD Bridge Design ...

New

Showing results 21-40

Internship Software Engineer Applied Math information

See Mason, MI salary details

$11

$22

$33

How much do internship software engineer applied math jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship software engineer applied math in Mason, MI is $22.21, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.19 per hour, depending on experience, location, and employer.

What is the difference between Internship Software Engineer Applied Math vs Internship Data Scientist?

AspectInternship Software Engineer Applied MathInternship Data Scientist
Required SkillsProgramming, applied mathematics, algorithmsStatistics, programming, data analysis
Work EnvironmentTech companies, R&D labs, financeTech firms, consulting, research
Common Industry UsageSoftware development, modelingData analysis, predictive modeling

Internship Software Engineer Applied Math focuses on applying mathematical techniques to software development and algorithm design, often in tech and finance sectors. In contrast, Internship Data Scientist emphasizes analyzing data to extract insights, using statistical and machine learning methods. Both roles require programming skills, but their core focus and industry applications differ.

College Intern - AI Engineering - Fall 2026 (Multiple Openings)

Lthc

Dewitt, MI

$21 - $23/hr

Part-time

Medical, Dental, Retirement

Posted 3 days ago

New


Job description

Job Description:

Fall 2026 Internship

The Fall College Internship Program is a paid co-op/internship experience that provides undergraduate and graduate students the opportunity to attend development workshops, network, and be part of our company. Our college interns work on meaningful projects, are mentored under their respective managers, and continue to develop throughout the entire fall. In addition, through the internship program, our interns can attend development workshops that are focused on key business concept. Interns may work within the skills-based tracks of Information Technology, Business Administration, Actuarial, Human Resources, Analytics & Data, Communications, Finance, Marketing & Sales, Project Management, Clinical Studies, Customer Experience, Digital Operations, and other non-technical and/or technical based degree programs.

  • This is a paid internship/co-op.

  • May reside in either a technical or non-technical area.

  • Housing is not provided as part of our internships/co-ops.

Essential Accountabilities:

  • Specific duties will vary with assignment; specific divisional callouts are listed below.

  • Interns will explore scaling current existing models to better identify and stratify complex chronic conditions and Hierarchical Condition Categories (HCCs), enabling proactive and data-driven population health features

  • Extract and leverage clinical data

  • Interns will enhance and optimize traditional NLP and ML solutions with robust AI to significantly boost predictive accuracy and ensure robust coding compliance to CMS

  • Works with a mentor and supports key strategic projects.

  • Responsible for work assignments and possible responsibilities that vary according to business need and departmental opportunities, in addition to student's qualifications.

  • Functions performed are non-technical and/or technical in nature and will cover a broad range of business-related projects.

  • Creates and delivers presentation at completion of internship.

  • Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.

  • Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.

  • Regular and reliable attendance is expected and required.

  • Performs other functions as assigned by management.

Minimum Qualifications:

  • Desired majors include Data Science, AI Engineering, Statistics, Mathematics, Software Engineering, Computer Science or similar degree program.

  • Preferred skills or experience with: Programming, Statistics, Advanced Modeling, Natural Language Processing (NLP), Deep Learning, Agentic AI, and/or LLM

  • High School diploma along with proof of continuous college enrollment (enrolled in a full-time undergraduate or graduate degree program).

  • Must be in good academic standing.

  • Excellent communication skills both verbal and written with the ability to communicate to technical and non-technical audiences and interface with staff at all levels of the company.

  • Ability to work in a fast-paced changing environment and deliver high-quality work product.

  • Ability to work well in a team establishing good working relationships with peers.

  • Ability to multitask and prioritize tasks with a strong attention to detail.

  • Experience using a desktop computer in a professional environment.

  • Experience with Microsoft Office Suite.

  • Demonstrates strong organizational and prioritization skills.

  • Strong analytical and problem-solving skills.

  • Proactive approach to work, displaying creativity and flexibility in completing assigned tasks.

  • Commitment to continuous improvement of skills and team functioning.

  • Must be self-motivated and able to work independently, as well as on intra- and inter- departmental teams where needed.

Physical Requirements:

  • Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time.

  • Ability to travel across the Health Plan service region for meetings and/or trainings as needed.

************

In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level I - Minimum $18.00 - Maximum $20.00

Levell II - Minimum $21.00 - Maximum $23.00

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.