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Data Science Intern Jobs in Michigan (NOW HIRING)

SwiftCruit

Data Scientist

Okemos, MI · On-site

$110 - $140/hr

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

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

New

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

GenAI Intern We're looking for a GenAI Intern to help explore and build innovative AI solutions ... Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

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 ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Leads authority on Data Science concepts, principals, practices and standards * Thought leader on IT risk-based approaches to Data Science * Sets the direction and oversees the work of other Data ...

Td

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

Leads authority on Data Science concepts, principals, practices and standards * Thought leader on IT risk-based approaches to Data Science * Sets the direction and oversees the work of other Data ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

Translate complex business questions and challenges into well-defined data science problems and analytical tasks. * Develop, train, and evaluate statistical and machine learning models to address ...

Stellantis

Data Scientist

Auburn Hills, MI

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 ...

Socket.dev

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, Quantitative Methods, Statistics, Engineering, or a related discipline; an equivalent combination of education and ...

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All JobsData Science Intern JobsData Science Intern Jobs in Michigan

Data Science Intern information

See Michigan salary details

$10

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$36

How much do data science intern jobs pay per hour?

As of Aug 19, 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 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 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 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.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Michigan?

The most popular types of Data Science jobs in Michigan are:

What are popular job titles related to Data Science Intern jobs in Michigan?

For Data Science Intern jobs in Michigan, the most frequently searched job titles are:

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 August 2026, with employment types broken down into 35% Internship, 13% Full Time, 26% Part Time, 4% Temporary, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,799 per year, or $19.6 per hour.

Data Scientist

SwiftCruit

Okemos, MI • On-site

$110 - $140/hr

Other

Medical, Dental

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

Job description

Job Title:

Data Scientist

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Hybrid Position

Job Summary:

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.

At Delta Dental, we celebrate our All In culture. It’s a mindset, feeling and attitude we wrap around all that we do – from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.

Primary Job Responsibilities:

  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.

#LI-Hybrid

Minimum Requirements:

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master’s degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent; has excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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