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Data Science Intern Jobs in Michigan (NOW HIRING)

Apex Systems

Data Scientist

Dearborn, MI · On-site

Design scalable data science solutions that support automation and operationalization. * Continuously research emerging data science, machine learning, and analytics technologies to enhance ...

New

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Minimum 2+ years of relevant Data Science experience. * Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field. * Master ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Using our customers' data and advanced data science, we are building products that allow our customers to flourish and thrive. Data is a pillar of our core values; it fuels more informed and ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI

Using our customers' data and advanced data science, we are building products that allow our customers to flourish and thrive. Data is a pillar of our core values; it fuels more informed and ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives. * Support training and enablement of associates on new ...

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How much do data science intern jobs pay per hour?

As of Jul 13, 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.
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Data Science Intern jobs near you
Data Science and Machine Learning Specialist

Data Science and Machine Learning Specialist

Epitec

Dearborn, MI • On-site

Contractor

Posted 6 days ago

New

Job description

  • Location: Dearborn, Michigan
  • Type: Contract
  • Job #104936

Job Title: Data Scientist - Predictive Analytics & Machine Learning
Location: Hybrid (4 Days Onsite)
Job Type: W2 Contract
Duration: 1 year - Ongoing Contract
Expected Hours per Week: 40 Hours
Summary
We are seeking a Data Scientist to support advanced analytics, machine learning, and predictive modeling initiatives within a leading automotive organization. This role focuses on transforming large volumes of vehicle quality, warranty, repair, and service data into actionable business insights. The ideal candidate will leverage statistical modeling, machine learning algorithms, and advanced analytics techniques to identify trends, predict future outcomes, and support data-driven decision-making across the organization.
Responsibilities
  • Analyze large structured and unstructured datasets to identify patterns, trends, and business opportunities
  • Design, develop, and implement machine learning models and predictive analytics solutions
  • Perform deep-dive analyses on vehicle quality, service, repair, warranty, recall, and parts-related data
  • Develop statistical models and analytical techniques to answer complex business questions
  • Create and validate algorithms, hypotheses, and experiments to support business decision-making
  • Build scalable analytical solutions and automated data science workflows
  • Design data loading, enrichment, and augmentation processes to improve model performance and accuracy
  • Create Power BI dashboards and visualizations to communicate insights and recommendations
  • Collaborate with Data Engineers, Software Engineers, Architects, Project Managers, and fellow Data Scientists
  • Validate analytical outputs and support deployment of new analytics capabilities into production environments
  • Present findings, recommendations, and business insights to leadership and non-technical stakeholders
  • Stay current with emerging Data Science, Machine Learning, AI, and Analytics technologies and methodologies
Education/Experience Required
  • Master's Degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or a related field
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related discipline
  • Experience working with large, high-dimensional datasets
  • Experience developing predictive models and machine learning solutions
  • Strong problem-solving and analytical skills
  • Experience communicating technical findings to business stakeholders
Technical Skills Required
Experience with one or more of the following:
  • Data Science
  • Machine Learning (ML)
  • Predictive Modeling
  • Statistical Analysis
  • Data Mining
  • Advanced Analytics
  • Algorithms Development
  • Predictive & Prescriptive Analytics
  • Data Visualization
  • Power BI Dashboards
  • Data Analysis
  • Experimental Design and Hypothesis Testing
Education / Experience Preferred
  • Doctorate Degree in a related field
  • Automotive industry experience
  • Experience analyzing warranty, quality, repair, recall, or service data
  • Experience building scalable and automated analytics solutions
  • Experience working within enterprise data environments
  • Experience supporting predictive maintenance, quality, reliability, or customer experience initiatives
Key Success Factors
  • Ability to convert complex data into actionable business recommendations
  • Strong understanding of statistical modeling and machine learning techniques
  • Ability to identify early indicators of business, quality, or operational issues
  • Strong dashboarding and data visualization capabilities using Power BI
  • Ability to work effectively with both technical and non-technical stakeholders
  • Strong communication, presentation, and storytelling skills
  • Ability to manage multiple analytical initiatives simultaneously
  • Passion for leveraging data to drive business outcomes and continuous improvement
What You'll Be Working On
  • Predicting vehicle quality, warranty, and service trends before they become larger issues
  • Analyzing repair orders, warranty claims, recalls, repeat visits, and parts data
  • Developing machine learning models that drive proactive business decisions
  • Delivering executive-level insights through reporting and Power BI dashboards
  • Supporting next-generation analytics capabilities within a large-scale automotive data platform

This is an excellent opportunity for a Data Scientist, Senior Data Analyst, Machine Learning Engineer, Predictive Analytics Specialist, Applied Statistician, or Advanced Analytics Consultant looking to work on high-impact data science initiatives within the automotive industry.
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