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Internship Python Data Science Jobs in Greenville, SC

Purpose Financial

Data Operations Engineer

Greenville, SC · On-site

$107.70K - $129.30K/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 ...

Advance America

Data Engineer

Greenville, SC · On-site

$107.70K - $129.30K/yr

Required : • Bachelor's or Master's degree in Computer Science, Engineering, or a related field ... Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis ...

New

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107.70K - $129.30K/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 ...

Varsity Tutors

Machine Learning Tutor

Greenville, SC · Remote

$40/hr

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 ...

Scan source

Junior API Developer

Greenville, SC · On-site

$70K - $80K/yr

Data Reporting * Support the ingestion and handling of customer and vendor reports for processing ... Python, Node.js, or TypeScript through coursework, personal projects, or internships. * Basic ...

Varsity Tutors

Linear Algebra Tutor

Greenville, SC · Remote

$40/hr

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

American Credit Acceptance

Sr. Data Engineer

Spartanburg, SC · On-site

$103.60K - $140.70K/yr

Description Senior Data Engineer Location: Spartanburg, SC (In-Office) Employment Type: Full-Time ... Bachelor's degree in computer science, mathematics, IT or a related field." * Strong SQL and Python ...

American Credit Acceptance

Sr. Data Engineer

Spartanburg, SC

$103.60K - $140.70K/yr

Description Senior Data Engineer Location: Spartanburg, SC (In-Office) Employment Type: Full-Time ... Bachelor's degree in computer science, mathematics, IT or a related field." * Strong SQL and Python ...

Michelin

Sales Insights Manager

Greenville, SC · On-site

Strong programming abilities in Python, PySpark, SQL, Databricks, and DAX .Experience with relational databases and SQL proficiency. * Knowledge of data science, analytics methodologies, and data ...

Michelin

Sales Insights Manager

Greenville, SC

Strong programming abilities in Python, PySpark, SQL, Databricks, and DAX .Experience with relational databases and SQL proficiency. * Knowledge of data science, analytics methodologies, and data ...

Ogletree Deakins

IT DataBase Analyst 2

Greenville, SC · On-site

Required : • Bachelor of Science or equivalent degree or experience is preferred. • Four or ... R, Python or similar software a plus. • Proficient in Azure Data Factory, Azure Fabric, and ...

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Internship Python Data Science information

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$39

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

As of May 29, 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.
Data Operations Engineer

Data Operations Engineer

Purpose Financial

Greenville, SC • On-site

$107.70K - $129.30K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago

Purpose Financial rating

5.4

Company rating: 5.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Brand: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
  • Competitive Wages
  • Health/Life Benefits
  • Health Savings Account plus Employer Seed
  • 401(k) Savings Plan with Company Match
  • Paid Parental Leave
  • Company Paid Holidays
  • Paid Time Off including Volunteer Time
  • Tuition Reimbursement
  • Business Casual Environment
  • Rewards & Recognition Program
  • Employee Assistance Program
  • Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

To learn more about Purpose Financial visit Purpose Financial Website.
Position Summary
We're looking for a skilled Data Operations Engineer to join our growing data team. This position reports to the Manager of Data Operations and is responsible for ensuring the reliability, scalability, and performance of our data pipelines and platforms. You'll work closely with data engineering, analytics, and infrastructure teams to support mission-critical data workflows, with a strong focus on Snowflake, Kafka, and modern data-ops best practices.
Job Responsibility
Data Pipeline Operations
  • Monitor, maintain, and optimize data pipelines across Snowflake, Kafka, and related systems
  • Troubleshoot and resolve data ingestion, transformation, and delivery issues
  • Ensure high availability and reliability of streaming and batch data processes

Platform Management
  • Manage Snowflake environments including warehouses, databases, roles, and resource optimization
  • Operate and tune Kafka clusters, topics, partitions, and consumer groups
  • Implement data quality checks, validation rules, and operational alerts

Automation & Tooling
  • Build automation for deployment, monitoring, and recovery of data workflows
  • Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations
  • Contribute to CI/CD pipelines for data infrastructure

Collaboration & Governance
  • Partner with data engineers to improve pipeline design and performance
  • Work with analytics teams to ensure timely and accurate data delivery
  • Support data governance, security, and compliance initiatives

Accountability
Understand, adhere to, and enforce all corporate policies.
Job Responsibilities Cont.
Education Required
A Bachelor's degree in Computer Science, Information Technology, software Engineering, or data management, or related field.
Experience Required
  • 5+ years in data operations, data engineering, or similar technical role
  • Hands-on experience with Snowflake (query optimization, warehouse tuning, RBAC, data sharing)
  • Strong experience with Kafka (producers/consumers, schema registry, monitoring, troubleshooting)
  • Proficiency in SQL and at least one scripting language (Python preferred)
  • Experience with cloud platforms (AWS preferred, Azure, or GCP)
  • Familiarity with orchestration tools (Airflow, dbt, etc.)
  • Strong understanding of data modeling, ETL/ELT concepts, and data lifecycle management

Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Preferred Qualifications:
  • Experience with Snowflake features such as Streams, Tasks, and Snowpipe
  • Knowledge of Kafka Connect, Kafka Streams, or Confluent Platform
  • Experience with writing connectors, both producers and consumers
  • Exposure to observability tools (Datadog, Prometheus, Grafana, Splunk)
  • Background in DevOps or SRE practices applied to data systems
  • Experience working in fast-paced, cloud-native environments

Physical Requirements
  • Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
  • Experience working in fast-paced, cloud-native environments

Competencies
OKR
Technical Proficiency/Leadership
Travel
0%-10%
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46092

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