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Python Data Analysis Internship Jobs in Charlottesville, VA

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

... Python, or SQL; statistical analysis; and data mining algorithms. • Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics. Qualifications : Required ...

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Python, or SQL; statistical analysis; and data mining algorithms. * Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics. Required qualifications * 3+ ...

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Python, or SQL; statistical analysis; and data mining algorithms. * Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics. Required qualifications * 3+ ...

Perform data analysis, data profiling, SQL coding/query tuning, data modeling, and data validation ... Python, PowerShell) for automation and data manipulation.

Expertise in stochastic processes and time series analysis * Proficiency in Python, MATLAB, R, or ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Expertise in stochastic processes and time series analysis * Proficiency in Python, MATLAB, R, or ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

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Python Data Analysis Internship information

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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.

Data Engineer - Sr

NALLEY CONSULTING

Charlottesville, VA • On-site

$107K - $128K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. They are seeking a Senior Data Engineer who will lead data engineering activities, oversee the development and deployment of data pipelines, and mentor a team in a fast-paced environment.
Responsibilities:
• Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems.
• Performing statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Utilizing skills in data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms.
• Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics.
Qualifications:
Required:
• 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 3+ years of experience developing code for data manipulation, data analysis, or data modeling
• Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
• Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
• Experience in the development of algorithms leveraging Python and SQL
• Experience with Python data science and visualization packages
• Experience with leading the development of solutions to complex problems
• Experience working within a TS environment with onsite development tools
• Experience with database administration or data analytics
• Experience with structured and unstructured data
• CompTIA Security+ certification
Preferred:
• 12+ years of experience in Extract, Transform, and Load (ETL) processes
• 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 7+ years of experience developing code for data manipulation, data analysis, or data modeling
• 3+ years of experience with AI and ML implementation and development
• Experience with DevSecOps tools, including GitHub
• Experience working within the Intel Community
• Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
• Experience with Streamlit, Tkinter
• Experience with Agile software development
Company:
Nalley Consulting provides consulting services to federal and state government agencies, specializing in intelligence consulting. Founded in 2013, the company is headquartered in Leesburg, USA, with a team of 11-50 employees. The company is currently Early Stage.