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Internship Python Data Science Jobs in Greenville, SC

Ogletree Deakins

IT DataBase Analyst 2

Greenville, SC · On-site

Bachelor of Science or equivalent degree or experience is preferred. * Four or more years of ... Proficient in R, Python or similar software a plus. * Proficient in Azure Data Factory, Azure ...

ARTHREX

Environmental Health & Safety Intern

Pendleton, SC

$13.50 - $18.25/hr

... data analysis experience and will be pursuing a Bachelor of Science degree in Occupational Safety and Health or a Bachelor of Science in an Engineering related field. This internship will run from ...

Pwc

RFM AI Governance Manager

Spartanburg, SC

$73.50K - $244K/yr

... with data science and AI lifecycle management preferred - Coding experience in Python or similar languages preferred - Knowledge of internal review and procurement processes for AI assets ...

Arthrex

Environmental Health & Safety Intern

Pendleton, SC · On-site

$13.50 - $18.25/hr

... data analysis experience and will be pursuing a Bachelor of Science degree in Occupational Safety and Health or a Bachelor of Science in an Engineering related field. This internship will run from ...

AFL

Digital Solutions Engineer

Duncan, SC · On-site

Proficiency in modern programming languages such as Python, JavaScript, Java, or C# * Experience ... Ability to work with data scientists and understand how to integrate models into applications

Varsity Tutors

Coding Tutor

Greenville, SC · Remote

$40/hr

Adapts instruction using block-based tools like Scratch, text-based languages like Python, and ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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

As of May 30, 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 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 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 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:
Internship Python Data Science jobs near you
Infographic showing various Internship Python Data Science job openings in Greenville, SC as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 54% Full Time, 16% Part Time, 24% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $44,014 per year, or $21.2 per hour.
IT DataBase Analyst 2

IT DataBase Analyst 2

Ogletree Deakins

Greenville, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Position Summary
The IT DataBase Analyst 2 (DA2) primary objective is to assess complex data systems, applications metrics and programs to support ad-hoc and standing management or customer requests, creates reports, methodologies, and files for analyzing and presenting data, examines data quality, applications, and functions. Also, produces output and sustains operation. The DA2 is also responsible to research new applications data sources, reports and analytical tools including techniques analysis and procedures, consulting with users to determine system functional specifications The DA2 designs, develops and documents new datasets and contributes to new product development and improvement in product delivery and presentation, develops awareness of and familiarity with data driven issues and events affecting applications, database, organization, department, and/or customer. The DA2 uses and supports database applications and analytical tools and uses timely and appropriate participation of users/customers in data collection and query systems with little to no supervision. The DA2 analyzes reports to identify incongruence and manages necessary adjustments working directly with the business.
Essential Functions
  • Manage and analyze data received from multiple sources.
  • Prepare and analyze reports related to multiple applications.
  • Generate statistical reports using a variety of database systems related to user experience and applications utilization.
  • Optimize business processes through high performing databases, routines, macros, and structured query languages.
  • Provides accurate and appropriate interpretation of data, applying knowledge to evaluation, analysis
  • Develops appropriate methodologies for collecting, analyzing, and presenting applications data products.
  • Develops useful and insightful information from a variety of data sources.
  • Works with management and/or customers to develop and understand product specifications.
  • Communicates regularly and effectively with team members and management, and communicates results effectively to management and/or customers.
  • Delivers data products in report/presentation format, or verbally, to management and/or customer specifications and timelines.
  • Points out system, application or process problems when noticed and engages the team in problem solving.
  • Facilitates satisfactory communication and resolution of problems.
  • Able to interface well with Firm staff and other non-technical members of Firm.
  • Demonstrated aptitude for learning new technologies.
  • Analytical - Able to mine and collect data.
  • Problem Solving Skills - gathers and analyzes information skillfully.
  • Interpersonal Skills - focuses on case/task at hand. Maintains confidentiality.
  • Communication - Listens and gets clarification. Responds to inquiries quickly with professionalism and tact. Writes clearly and informatively. Edits work for errors. Able to read and interpret information accurately and concisely.
  • Teamwork - Willing and eager to lead and train others and share knowledge and skills.
  • Dependability - Follows instructions, responds to management direction. Willing to commit to additional hours when necessary to reach Firm objectives.
  • Initiative - Takes independent actions and reasonable risks; Asks for and offers help when needed.
  • Strong analytical and problem-solving skills and enjoy working in a team-oriented and fast-paced environment.

Requirements
  • Bachelor of Science or equivalent degree or experience is preferred.
  • Four or more years of experience as DataBase/Data Analyst, preferably working in IT and/or legal fields.
  • Skilled in Excel, including pivoting capabilities and analysis module, and VBA macros.
  • Proficiency in MS SQL, SSMS software required.
  • Proficiency in SSIS, SSRS, PBI software required.
  • Proficient in R, Python or similar software a plus.
  • Proficient in Azure Data Factory, Azure Fabric, and related technologies a plus.
  • Excellent organization, communication, and interpersonal skills.
  • Ability to work in both individual and team settings.
  • Ability to work in a fast-paced environment, and to meet changing deadlines and priorities on multiple simultaneous projects.
  • Ability to organize, manage, prioritize, and handle numerous projects/tasks, sometimes heavy caseloads. Detailed oriented.
  • Written and verbal communication, including technical writing skills

Other preferred skills:
- Agile methodology
- SCRUM methodology
- SharePoint
- Microsoft Office
Benefits
Ogletree Deakins offers a robust suite of benefits for our Staff including: Paid Time Off, Paid Sick Leave, a 401(k) matching program, Profit Sharing, Paid Holidays, Paid Parental Leave, affordable Health and Life Insurance including Dental & Vision coverage, Health Savings Account /Flexible Spending Accounts to help offset the cost of dependent care and/or health care expenses, Tuition Reimbursement and an Employee Assistance Program.
Contact Information
If you have questions, please e-mail Libby Naikelis at libby.naikelis@ogletree.com with "IT Database Analyst 2" in the subject line. Please note, applications submitted via e-mail will not be considered.
Firm Overview
Ogletree Deakins is one of the largest labor and employment law firms representing management in all types of employment-related legal matters. Best Law Firms® has named Ogletree Deakins a "Law Firm of the Year" for 14 consecutive years. In the 2025 edition, the publication named Ogletree Deakins its "Law Firm of the Year" in the Litigation - Labor and Employment category. Ogletree Deakins has more than 1,100 attorneys located in 60 offices across the United States and in Europe, Canada, and Mexico. The firm represents a diverse range of clients, including many of the Fortune 50 companies in the U.S.
We are fully committed to the importance of diversity within the legal profession, as well as all workplace environments.
Equal Opportunity Employer.

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