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Data Science Internship Jobs in Michigan (NOW HIRING)

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

Description Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various ...

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Data Science Internship information

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$10

$19

$36

How much do data science internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data science internship 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 is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What are the key skills and qualifications needed to thrive in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What types of projects or tasks can I expect to work on during a Data Science Internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.
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 cities in Michigan are hiring for Data Science Internship jobs? Cities in Michigan with the most Data Science Internship job openings:
Infographic showing various Data Science Internship job openings in Michigan as of May 2026, with employment types broken down into 55% Full Time, 26% Part Time, 4% Temporary, and 15% Contract. Highlights an 33% Physical, 11% Hybrid, and 56% Remote job distribution, with an average salary of $40,799 per year, or $19.6 per hour.
Internship, Data Science

Internship, Data Science

Padagis LLC

Wyoming, MI • Hybrid

$27/hr

Part-time

Posted 9 days ago


Job description

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects involving both technical teams and functional business teams.

This position is targeting a minimum of 20 hours per week hybrid/on-site (up to 40 hours), minimum ending in August 2026, commitment beyond August is highly desired and flexible with academic commitments.

Job duties:

  • Data flow investigation and documenting mapping in various systems
  • Business process workflow mapping, document design creation
  • Potential dashboard creation using Power BI desktop
  • Supporting our Master Data and Robotic Process Automations (RPA) teams with various needs

    Required qualifications:

    • Incoming juniors, seniors or graduate students
    • Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business discipline AND either has a minor, second major, or high interest in a non-technical department, such as:  Operations Finance, Supply Chain, Commercial, etc
    • High openness to experiences, naturally inquisitive, and proactively seeks to understand and has determination to root-cause analyze
    • Inherently a strong communicator: the ability to explain complex technical concepts in simple terms to non-technical stakeholders, and conversely, to articulate business needs to technical teams.
    • Available to work a minimum of 20 hours/week up to 40 hours, duration is negotiable

          Preferred qualifications:

          • Exposure to SAP ERP
          • Coding in Python, SQL, VB or R for statistical modelling and integrations into BI platforms (desired, but not required)

          Padagis Core Competencies:

          Since its beginning, Padagis has been undergoing the process of identifying what we believe will lead to the success of our organization in a competitive landscape. To that end, we have developed a set of five “core” competencies. We strive to bring employees on board the journey with us who exemplify these key competencies:

          • Service delivery – Understand who your internal and external customers are, identify their needs, and deliver value above their expectations…
          • Active collaboration – Seek opportunities to work together across teams, function, business units, and geographies to seek success…
          • Demonstrate agility – Proactively identify changes in our environment and act quickly, leading or embracing change…
          • Think differently – Create, develop, and implement new ideas, products, services, or processes that involve introducing something new or significantly improving something that already exists…
          • Excellent execution – Achieve outstanding results in all aspects of our organization, including our culture, leadership, strategy, and processes…

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          About Padagis

          Sourced by ZipRecruiter

          Industry

          Pharmaceutical and medicine manufacturing

          Company size

          201 - 500 Employees

          Headquarters location

          Allegan, MI, US

          Year founded

          2004