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Graduate Data Science Intern Jobs in Greenville, SC

BMW Group

Quality Software Intern (Spring 2027)

Spartanburg, SC · On-site

$18.75 - $24.75/hr

Quality Software Intern (Spring 2027) Posting Start Date: 7/31/26 Job Location (Long): Spartanburg ... Qualifications : * [Undergrad or Masters] in Computer Science, Information Systems, Data Analytics.

BMW Group

Process Quality Intern (Spring 2027)

Spartanburg, SC · On-site

$14.75 - $19.50/hr

They will be involved in root cause analysis, gathering data, establishing containments, process ... Pursuing a degree in Mechanical Engineering, Industrial/Systems Engineering, Computer Science, or a ...

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Graduate Data Science Intern information

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How much do graduate data science intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for graduate data science intern in Greenville, SC is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.08 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a graduate data science intern?

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 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.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in Greenville, SC?

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What job categories do people searching Graduate Data Science Intern jobs in Greenville, SC look for?

The top searched job categories for Graduate Data Science Intern jobs in Greenville, SC are:

What cities near Greenville, SC are hiring for Graduate Data Science Intern jobs?

Cities near Greenville, SC with the most Graduate Data Science Intern job openings:

Graduate Data Science Intern jobs near you

Paint Shop Digitalization Developer Intern

BMW Group

Spartanburg, SC • On-site

$17.50 - $23.50/hr

Full-time, Internship

Re-posted 4 days ago

BMW Group rating

7.7

Company rating: 7.7 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

9th of 45 rated automakers

Job description

Job Title: Paint Shop Digitalization Developer Intern
Posting Start Date: 7/31/26
Job Location (Long):
Spartanburg, South Carolina United States
Job Description:
Description:
Support Paint Shop training initiatives. Key member in the digitalization team and growth of the paint shop and plant training process.
The qualified intern/Co-op should expect to contribute and improve in the following functions:
  • Developing tools used for reporting and planning (excel, Apex, Power bi, or others).
  • Develop a custom course, opportunity to teach this course or others.
  • Plan projects related to technical training equipment/processes.
  • Learn new technologies (Augmented Reality, new software).
  • Reporting of technical trainings.
  • Further development of reporting tools (oracle/SharePoint).
  • Maintenance of reporting systems.
  • Planning of future courses.
  • Gap analysis (qualifications).
  • Data analysis (training data).
  • Forecasting training needs.
  • Assist TCT (Training Coordination Team) as needed, new class development, planning, etc.

Qualifications:
  • Computer Science, ME, EE, data analytics, or similar.
  • SQL and VBA.
  • Oracle.
  • Databases.
  • Microsoft Power Apps.
  • Possess a minimum cumulative GPA of 3.0 (not just in major)
  • Have enrolled student status at an accredited four-year college or university in the United States.
  • Completed at least 30 credit hours at time of application.
  • Ability to work full-time on-site (40 hours / week).
  • Transfer students must have a GPA from current university.
  • MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT
  • Complete and pass a substance abuse test before the work term.
  • THE WORK TERM DATES ARE January 11th - May 14th, 2027.

BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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