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Data Science Intern Jobs in Michigan (NOW HIRING)

Clevanoo LLC

Be Seen First

Data Science

Detroit, MI · On-site

$45 - $47/hr

Data Science Analyst Location: Detroit, MI (Hybrid) Duration: Long Term Contract Pay Rate: $45-47/hr on W2 Only Start Date: Immediate Hiring Manager Update: We wanted someone with experience with AWS ...

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 ... Public Health, Public Administration, Data Science, Environmental Health, or a related field ...

Consumers Energy

Data Scientist

Jackson, MI

Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. * Plan, organize, and manage resources ...

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How much do data science intern jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data science intern in Michigan is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $21.39 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
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What job categories do people searching Data Science Intern jobs in Michigan look for? The top searched job categories for Data Science Intern jobs in Michigan are:
What cities in Michigan are hiring for Data Science Intern jobs? Cities in Michigan with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Michigan as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $40,799 per year, or $19.6 per hour.

Data Science

Clevanoo LLC

Detroit, MI • On-site

$45 - $47/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Position Title: Data Science Analyst
Location: Detroit, MI (Hybrid)
Duration: Long Term Contract
Pay Rate: $45-47/hr on W2 Only
Start Date: Immediate

Hiring Manager Update:
We wanted someone with experience with AWS tech stack and deeper understanding of building AI/ML systems,  someone who can hit ground running in first week of work.

One other general observation and feedback, I interviewed many candidates for these two earlier roles, I found many candidates who might be good on resume but lacked the knowledge. Some candidates seemed to be reading off screen.

RESPONSIBILITIES:
• Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models
• Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within Our Client and its subsidiaries

QUALIFICATIONS:

Required Skills and Experience (Top 3):
1. Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP)
2. Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices
3. Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences
Programming:
• Proficient in Python

Experience:
• Minimum 2 years of relevant professional experience
Preferred Skills and Experience:
• Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up
• Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs)
• Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit
• Prior experience in the healthcare industry preferred
Education/Certifications:
• Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required