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Graduate Data Science Intern Jobs in Michigan (NOW HIRING)

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Intern Responsibilities / Projects: Projects could include: • Perform accurate data entry, data ... graduate program pursuing one of the following?: Public Health, Public Administration, Data Science ...

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Graduate Data Science Intern information

Can I get a data science internship with no experience?

Graduate data science internships often accept candidates with limited or no professional experience if they demonstrate relevant skills such as programming in Python or R, understanding of statistics, and familiarity with data analysis tools. Building a portfolio through coursework, personal projects, or online certifications can improve chances of securing an internship without prior work experience.

Can you be an intern as a graduate?

Yes, graduate students can serve as data science interns, as many internship programs target individuals who have recently completed or are pursuing advanced degrees. Internships often require relevant skills such as programming in Python or R, and may have age or educational level prerequisites, but being a graduate does not disqualify you from applying.

What does a Graduate Data Science Intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

Is 20 an hour good for an internship?

For a Graduate Data Science Intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require skills in programming, statistics, and data analysis. Internships often pay between minimum wage and $25 per hour, depending on location, company, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating pay rates.

What types of projects do Graduate Data Science Interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many individuals start careers in data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be developed through online courses, certifications, and practical experience regardless of age.

What are the key skills and qualifications needed to thrive as a Graduate Data Science Intern, and why are they important?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in Michigan? For Graduate Data Science Intern jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Graduate Data Science Intern jobs in Michigan look for? The top searched job categories for Graduate Data Science Intern jobs in Michigan are:
What cities in Michigan are hiring for Graduate Data Science Intern jobs? Cities in Michigan with the most Graduate Data Science Intern job openings:
Graduate Data Science Intern jobs near you
Infographic showing various Graduate Data Science Intern job openings in Michigan as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.
Data Integration Intern

Data Integration Intern

Upper Peninsula Health Plan

Marquette, MI • On-site

Full-time

Posted 7 days ago

Job description

*2026 Fall Internship, beginning August 2026 for 16 weeks/20 hours per week*
DATE: June 16, 2026
POSITION: Data Integration Intern
DEPARTMENT: UPHCS-UPHIE
POSITION SUMMARY:
The Data Integration Intern supports Upper Peninsula Health Care Solutions (UPHCS) and Upper Peninsula Health Information Exchange (UPHIE) health IT projects and initiatives and assists on the integration and transmission of data. The Data Integration Intern will work with internal and external stakeholders to support client initiatives and achieve our overall mission of improving health in the communities we serve.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
1. Follows established Upper Peninsula Health Plan (UPHP) policies and procedures, objectives, safety standards, and sensitivity to confidential information.
2. Works with internal stakeholders and external partners to acquire data from primary or secondary data sources and maintain reporting databases and data systems.
3. Performs data mapping, data conversion, data quality assurance, and data set creation using internal and external data sources.
4. Develops solutions to a variety of technical problems of moderate scope and complexity.
5. Creates process documentation for technical use cases, including but not limited to client workflow and gap analysis, process improvement, data flow diagrams, standard operating procedures, and end-user guides.
6. Receives, generates, cleans, and parses large CSV files to meet conformance standards and requirements outlined by client and internal processes.
7. Maintains and enhances Node.js applications by troubleshooting issues, and implements new features in alignment with business requirements and coding best practices.
8. Collaborates with UPHCS and UPHIE teams to strengthen initiatives for all health IT related use cases and tools.
9. Maintains confidentiality of client data.
10. Performs other related duties as assigned or requested.
POSITION QUALIFICATIONS:
Education:
Minimum:
Enrolled in undergraduate Computer Science, Data Science, or similar courses. Interest in advancing knowledge about healthcare.
Preferred:
Enrolled in Bachelor's Degree in Computer Information Systems, Health Informatics, Data Analytics, Nursing, or related field.
Experience:
Minimum:
Basic knowledge or understanding of computer or data science.
Preferred:
Previous data science experience.
Skills:
Minimum:
Keyboarding proficiency and working knowledge of PC business applications (MS Word, Excel, and PowerPoint)
Experience with the following programming languages: SQL, Python, JavaScript, Java
Ability to operate standard office equipment (photocopier/scanner, fax, etc.)
High level of technical and problem-solving skills
Preferred:
Fullstack web development
Proficiency in the following languages: Python, JavaScript, Java, Node.js, SQL
Experience with XML, CSV, JSON file formats, or other common healthcare related file types
The qualifications listed above are intended to represent the minimum skills and experience levels associated with performing the duties and responsibilities contained in this job description. The qualifications should not be viewed as expressing absolute employment or promotional standards, but as general guidelines that should be considered along with other job-related selection or promotional criteria.
Physical Requirements:
[This job requires the ability to perform the essential functions contained in the description. These include, but are not limited to, the following requirements. Reasonable accommodations may be made for otherwise qualified applicants unable to fulfill one or more of these requirements]:
Ability to enter and access information from a computer
Ability to access all areas of the UPHP offices
Occasionally lifts supplies/equipment
Prolonged periods of sitting
Manual dexterity
Working Conditions:
Works in office conditions
Fast-paced working environment
Subject to interruptions

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