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Python Data Analysis Internship Jobs in Charlottesville, VA

Data Science Tutor

Charlottesville, VA ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

Senior Data Scientist

Charlottesville, VA ยท On-site

$90K - $160K/yr

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

Senior Data Scientist

Charlottesville, VA ยท On-site

$90K - $160K/yr

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

Senior Data Scientist

Charlottesville, VA ยท On-site

$90K - $160K/yr

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

Senior Data Scientist

Charlottesville, VA ยท On-site

$90K - $160K/yr

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

Data Scientist III

Charlottesville, VA ยท On-site

$98K - $171K/yr

We build mission-critical software and analytics for defense and intelligence customers operating ... Programming experience in one or more languages such as Python, C++, Java, Matlab, or similar.

Showing results 21-40

Python Data Analysis Internship information

See Charlottesville, VA salary details

$11

$22

$41

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

As of Aug 18, 2026, the average hourly pay for python data analysis internship in Charlottesville, VA is $22.33, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python data analysis internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What job categories do people searching Python Data Analysis Internship jobs in Charlottesville, VA look for?

The top searched job categories for Python Data Analysis Internship jobs in Charlottesville, VA are:

What cities near Charlottesville, VA are hiring for Python Data Analysis Internship jobs?

Cities near Charlottesville, VA with the most Python Data Analysis Internship job openings:

Infographic showing various Python Data Analysis Internship job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $46,437 per year, or $22.3 per hour.

Associate Director of Data Analytics and Platform Services

Virginia Jobs

Charlottesville, VA โ€ข On-site

$105K - $125K/yr

Other

Posted 4 days ago


Job description

Department Overview
About UVA School of Engineering and Applied Science
The University of Virginia School of Engineering and Applied Science (SEAS) serves more than 3,000 undergraduate students and 1,000 graduate students and has a rapidly expanding research enterprise. The s chool is committed to excellence in education, research, and service.
Position Summary
The School of Engineering and Applied Science (SEAS) at the University of Virginia seeks an experienced and strategic data professional to serve as the Associate Director of Data Analytics and Platform Services. This position will lead a small team responsible for maintaining and advancing a production-grade Microsoft Fabric data platform while delivering high-quality analytics and reporting that support operational excellence, strategic planning, and institutional decision-making.
The SEAS data platform currently integrates data from SIS, Workday, Slate, Airtable , and other institutional and external systems through 15+ production pipelines, serving 50+ users across the school. The successful candidate will inherit and build upon this foundation.
Key Responsibilities
Data Analytics and Reporting
  • Partner with school leadership and academic units to align analytics and reporting with institutional priorities.

  • Create and maintain dashboards, visualizations, and reports for strategic metrics using Power BI and related tools.

  • Perform trend analysis and forecasting using large, complex datasets across enrollment, faculty, research, and financial domains.

  • Lead the school's institutional reporting efforts, including IPEDS, ASEE, and US News survey submissions.

  • Support operational decision-making through data-driven insights and ad hoc analysis.

Data Engineering and Platform Development
  • Maintain and enhance the school's Microsoft Fabric data platform, including lakehouse /warehouse architecture, PySpark notebooks, and T-SQL pipelines.

  • Define and advance the school's data architecture, strategy, and long-term platform roadmap.

  • Manage data governance and ensure data integrity, performance optimization, and reliability of data pipelines in compliance with university policies.

  • Explore and implement emerging technologies, including AI/LLM tools, to enhance data access and insight delivery.

  • Collaborate with central UVA IT and enterprise data governance partners to align data practices and integrate institutional data sources.

  • Manage API integrations and data ingestion from external systems (e.g., Slate SFTP, Airtable , Google Scholar).

Team Leadership and Stakeholder Management
  • Lead and develop a small team of data analysts and engineers ; serving as a player-coach who balances hands-on technical work with people leadership.

  • Navigate stakeholder relationships across academic departments, associate deans, faculty affairs, and administrative units .

  • Maintain documentation, runbooks, and knowledge management practices to ensure platform continuity.

Minimum Qualifications
  • Experience managing a team of data analysts or engineers.

  • Strong proficiency in Python ( PySpark ), SQL (T-SQL), and data transformation frameworks.

  • Experience with Microsoft Fabric, Azure, or comparable modern cloud data platforms.

  • Demonstrated ability to design and manage ETL/ELT pipelines and data architectures.

  • Experience developing dashboards and reports using Power BI or similar tools.

  • Strategic thinking, project planning, and the ability to influence analytics adoption across an organization.

  • Demonstrated innovation in analytics methodologies and technologies.

Preferred Qualifications
  • Experience working in higher education or complex institutional environments.

  • Familiarity with university data domains (enrollment, faculty, research, finance, advancement).

  • Experience with institutional survey and reporting frameworks (IPEDS, ASEE, US News).

  • Experience with API integrations and web services.

  • Exposure to data quality frameworks and data governance practices.

  • Experience with AI/LLM tools in a data platform context.

  • Microsoft Fabric certifications (e.g., DP-600) or comparable cloud platform credentials.

Physical Demands
This is primarily a sedentary position. The employee will be expected to perform typical office tasks including sitting, standing, and working at a computer for extended periods of time.
Salary Range
$105,000 - $125,000
Position Type & Work Location
Full-time, exempt position. Work location: Charlottesville, VA (hybrid work arrangements may be available).
About UVA and the Community
The University of Virginia is a world-class public institution, combining rigorous academics, cutting-edge research, and a vibrant community. Nestled in Charlottesville, VA, UVA offers a high quality of life with access to outdoor recreation, a thriving arts scene, and a strong sense of community.
Application Timeline
Review of applications will begin after the position has been posted for a minimum of five days.
Additional Requirements
This position will not sponsor applicants for work visas.
How to apply:
Please apply online through Online and search for R0081957. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Please note that multiple documents can be uploaded in the "Resume" box. Applications that do not contain all required documents will not receive full consideration.
Reference Check Process
Reference checks will be conducted via SkillSurvey. A total of five references will be requested, with at least three responses required.
Contact
For questions about this position, please contact the recruiter. Bill Crane at
Job Profile
J1476 - Information Technology Management 2
Career Stream and Level
Management-M2
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .
Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer