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Graduate Data Science Intern Jobs in Michigan (NOW HIRING)

Padagis LLC

Internship, Data Science

Wyoming, MI · Hybrid

$27/hr

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 ...

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.

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

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.

Autoliv United States

GenAI Intern

Auburn Hills, MI

$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 ...

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 ...

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Graduate Data Science Intern information

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 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.

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.

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 May 2026, with employment types broken down into 5% As Needed, 21% Full Time, 58% Part Time, 2% Temporary, 13% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Internship, Data Science

Internship, Data Science

Padagis LLC

Wyoming, MI • Hybrid

$27/hr

Part-time

Posted 13 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

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