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Learning Analytics Internship Jobs in Michigan (NOW HIRING)

Internship- Compliance

Okemos, MI · On-site

$36K - $43K/yr

Assisting in analyzing data and reporting results, risks and trends to report to management ... Savvy with technology and have ideas of how to incorporate technology into learning. * Working ...

Internship- Compliance

Okemos, MI · Hybrid

$36K - $43K/yr

Assisting in analyzing data and reporting results, risks and trends to report to management ... Savvy with technology and have ideas of how to incorporate technology into learning. * Working ...

Student Intern

Kalamazoo, MI · On-site

$14.25 - $19/hr

... learning. Student interns work together on a summer-long project and present results to senior ... Research: Collect & analyze data from surveys, literature reviews, focus groups, observational ...

Student Intern

Kalamazoo, MI · On-site

$14.25 - $19/hr

... learning. Student interns work together on a summer-long project and present results to senior ... Research: Collect & analyze data from surveys, literature reviews, focus groups, observational ...

Intern: Clinical Internship

Mason, MI · On-site

$13 - $17.50/hr

... analysis of clinical outcome data. * Other duties as assigned. Communication: * Physicians - in ... Level of education varies based on discipline and type of internship. We are an equal opportunity ...

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Learning Analytics Internship information

What is a Learning Analytics Internship?

A Learning Analytics Internship is a temporary position where students or recent graduates work with educational data to analyze and improve learning outcomes. Interns typically collect, process, and interpret data from educational platforms or classrooms to identify patterns and provide insights for educators or administrators. This role often involves using data analysis tools and working closely with instructional designers or educational researchers. The internship provides hands-on experience in the field of educational data science and helps interns build skills in research, analytics, and educational technology.

What are the key skills and qualifications needed to thrive as a Learning Analytics Intern, and why are they important?

To thrive as a Learning Analytics Intern, you need a solid background in data analysis, statistics, and educational theory, often supported by coursework in data science or education technology. Proficiency with data visualization tools (like Tableau), statistical software (such as R or Python), and familiarity with learning management systems (LMS) is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable recommendations for educational improvement. These skills are crucial for effectively leveraging data to enhance learning outcomes and support evidence-based decision-making in educational environments.

What is the difference between Learning Analytics Internship vs Data Analyst Internship?

AspectLearning Analytics InternshipData Analyst Internship
Required CredentialsRelevant coursework in education, data analysis, or related fields; basic technical skillsDegree in statistics, mathematics, or related fields; proficiency in data tools
Work EnvironmentEducational institutions, e-learning companies, or edtech startupsVarious industries including finance, healthcare, marketing, and tech
Employer & Industry UsageFocus on improving learning outcomes and educational dataAnalyzing data to support business decisions across sectors

Learning Analytics Internships primarily focus on analyzing educational data to enhance learning experiences, often within educational or edtech organizations. Data Analyst Internships have a broader scope, applying data analysis skills across multiple industries. While both roles require analytical skills and some technical knowledge, Learning Analytics Interns typically work in educational settings, whereas Data Analyst Interns may work in diverse sectors.

What types of projects can I expect to work on during a Learning Analytics Internship?

As a Learning Analytics Intern, you can expect to work on projects that involve collecting, analyzing, and interpreting data related to student learning and educational outcomes. Typical tasks may include designing dashboards to visualize learning trends, conducting data cleaning and preparation, and supporting the evaluation of digital learning tools. You may also collaborate with instructional designers, data scientists, and educators to identify actionable insights that can improve teaching strategies or learner engagement. This hands-on experience provides valuable exposure to both educational technology and data analytics, preparing you for future roles in the field.
What are the most commonly searched types of Learning Analytics jobs in Michigan? The most popular types of Learning Analytics jobs in Michigan are:
What are popular job titles related to Learning Analytics Internship jobs in Michigan? For Learning Analytics Internship jobs in Michigan, the most frequently searched job titles are:
2026 Fall Intern - Research & Development: AI/ML

2026 Fall Intern - Research & Development: AI/ML

General Motors

Warren, MI

$14 - $18.75/hr

Full-time

Posted 8 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

GM does not provide immigration-related sponsorship for this role.


Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business].

The start date for this internship is September 7, 2026.

The Team

At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility.

In this internship, you will plan and execute collaborative research that applies advanced artificial intelligence, machine learning, and computational methods to complex vehicle and mobility challenges. Projects may support areas such as vehicle development process acceleration, predictive engineering, vehicle safety, energy and propulsion systems, and next-generation research methods that enable faster, smarter, and more scalable engineering decisions.

You will work with technical leaders across GM Research and Development to explore innovative approaches that combine data, physics-based understanding, and modern AI/ML techniques to solve real-world problems. Our culture of innovation gives you the opportunity to be creative, contribute to impactful research, and help develop technologies that could influence the vehicles and systems of the future.

What You Will Do

  • Conduct research and/or experiments to collect required data and validate research ideas
  • Apply AI/ML, data science, and computational methods to engineering and research problems
  • Support development of methods, models, tools, or workflows that accelerate vehicle development and research outcomes
  • Assist with analysis of large, complex datasets to generate insights and improve prediction, automation, or decision-making
  • Collaborate with technical teams to evaluate emerging technologies and identify opportunities for application in automotive research
  • Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property
  • Develop and execute specific research plans, including concept generation, development, implementation, and validation
  • Collaborate effectively with peers, management, operations groups, and outside organizations

Required Qualifications

  • U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens
  • Must be currently enrolled in a PhD program
  • Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a closely related science/engineering field
  • Strong foundation in AI/ML, statistical modeling, data analysis, or computational methods
  • Programming experience in Python and/or other relevant languages for machine learning, analytics, or scientific computing
  • Ability to work both independently and in teams
  • Consistently demonstrate critical thinking and strong teamwork
  • Effective verbal and written communication skills
  • Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers

What Will Give You a Competitive Advantage (Preferred Qualifications)

  • Prior research, internship, or project experience applying AI/ML to engineering, physical systems, or large-scale data problems
  • Experience with machine learning model development, evaluation, and deployment workflows
  • Knowledge and experience of physics-based dynamic system modeling
  • Experience with NeruoSymbolic AI or Causal/Explainable AI or Emotion/Affective AI
  • Familiarity with generative AI, large language models, deep learning, or physics-informed/data-driven modeling approaches
  • Experience working with vehicle, test, simulation, sensor, or other engineering datasets
  • Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences
  • Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed
  • Demonstrates leadership in field of study, extra-curricular activities, or service organizations
  • Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights
  • Willingness to ask questions, take initiative, and be inventive
  • Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment
  • High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed
  • Evidence of strong character with integrity, honesty, accountability, and trust

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908