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Internship Python Data Science Jobs in Greenville, SC

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations * Contribute to CI/CD ... Education Required A Bachelor's degree in Computer Science, Information Technology, software ...

Data Analyst Sr- Level 3

Greenville, SC · On-site

$85K - $150K/yr

Basic Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering ... with Python-R programming -Background/ Interest with AI machine learning concepts and can ...

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Education Required Bachelor's or Master's degree in Computer Science, Engineering, or a related ... Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in ...

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Be Seen First

... interns who never sleep, never complain, and occasionally hallucinate a function that almost works ... Python / FastAPI - Write and optimize SQL against PostgreSQL -- bonus points if you never once ...

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Internship Python Data Science information

See Greenville, SC salary details

$11

$21

$39

How much do internship python data science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for internship python data science 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 are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are popular job titles related to Internship Python Data Science jobs in Greenville, SC? For Internship Python Data Science jobs in Greenville, SC, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Greenville, SC look for? The top searched job categories for Internship Python Data Science jobs in Greenville, SC are:
High School Computer Science Tutor

High School Computer Science Tutor

Varsity Tutors

Greenville, SC • Remote

$18 - $40/hr

Part-time

Re-posted 16 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online High School Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a High School Computer Science Tutor
  • Advanced Subject Mastery: Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types, control structures, functions, arrays, basic algorithms, debugging, and introductory concepts in cybersecurity and data. Ability to explain algorithm efficiency, Boolean logic, and binary representation while preparing students for AP Computer Science courses, college computer science, and technology careers.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching programming logic, problem decomposition, and debugging strategies for high school students new to computer science. Guides students through writing programs with variables and loops, implementing simple algorithms, designing solutions to computational problems, and using development environments. Emphasizes building computational thinking skills and connects computer science to robotics, game design, and real-world technology applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with high school computer science standards including CSTA frameworks and common challenges such as abstract thinking about algorithms, debugging syntax and logic errors, and building persistence through coding challenges. Adapts instruction using visual programming tools, interactive coding platforms, and engaging projects to support students from introductory exploring computer science through pre-AP preparation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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