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Python Data Analysis Internship Jobs in Blacksburg, VA

Moog

Engineering Technician

Christiansburg, VA

$22 - $28/hr

Basic data analysis or scripting (Python, MATLAB) * Oscilloscope operation and signal measurements * Soldering and PCB assembly * Familiarity with industrial controls and panel wiring * Experience ...

Moog, Inc.

Engineering Technician

Christiansburg, VA · On-site

$22 - $28/hr

Basic data analysis or scripting (Python, MATLAB) * Oscilloscope operation and signal measurements * Soldering and PCB assembly * Familiarity with industrial controls and panel wiring * Experience ...

Secmation

Senior RF Communications Engineer

Blacksburg, VA · On-site

$140K - $175K/yr

Experience using MATLAB, Python, or comparable tools for RF modeling, simulation, algorithm development, or data analysis. Experience with C/C++ for embedded or systems-level applications. Experience ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

... data analysis who are interested in applying these tools to catalytic reaction engineering and ... Python, MATLAB, or equivalent. - Prior involvement in data-driven research projects in ...

ECS Ltd

Geotechnical Internship (Level 2)

Roanoke, VA · On-site

$18 - $22/hr

... data * Assists with or performs specialized testing (e.g., Pile Driving Analyzer testing ... At least one internship with ECS or another firm * Must be pursuing an Associate, Bachelor, or ...

ECS Ltd

Geotechnical Internship (Level 2)

Roanoke, VA · On-site

$18 - $22/hr

... data * Assists with or performs specialized testing (e.g., Pile Driving Analyzer testing ... At least one internship with ECS or another firm * Must be pursuing an Associate, Bachelor, or ...

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All JobsPython Data Analysis JobsPython Data Analysis Internship JobsPython Data Analysis Internship Jobs in Blacksburg, VA

Python Data Analysis Internship information

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

As of Sep 12, 2026, the average hourly pay for python data analysis internship in Blacksburg, VA is $19.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $21.49 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 Blacksburg, VA look for?

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

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

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

Python Data Analysis Internship jobs near you
Infographic showing various Python Data Analysis Internship job openings in Blacksburg, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $41,061 per year, or $19.7 per hour.

Bayesian Statistician - Risk & Safety Analysis

Blacksburg, VA • On-site, Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
As a Safety Statistician - Risk & Safety Analysis, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems. You will influence the design and execution of statistically rigorous analyses that inform safety assurance strategies, engineering priorities, and risk-based decision making. Your work will directly influence how safety performance and risk are measured, understood, and acted upon across the organization. This is a technical role focused on applied Bayesian and frequentist statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics.
What You'll Do
  • Employ statistically sound Bayesian and frequentist analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk
  • Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets
  • Bridge safety and engineering teams by translating complex Bayesian and frequentist analyses into information engineers can act on
  • Develop automated, production-ready analysis workflows that support continuous safety monitoring
  • Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate
  • Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives

What You'll Need to Succeed
  • Bachelor's Degree in Statistics, Computer Science, Robotics, Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master's Degree in a related technical field plus competences typically acquired through 3+ years of experience.
  • Strong background in applied statistics, safety analysis, and risk estimation
  • Demonstrated experience applying Bayesian analyses
  • A solid understanding of both Bayesian and frequentist statistical frameworks with the ability to select the right approach for each problem
  • Demonstrated ability to assess whether Bayesian credible intervals have adequate frequentist coverage properties for decision-making, and adjust priors or model structure when they dont
  • Experience in autonomous vehicles, adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail, etc.), or comparable actuarial experience
  • Experience working with complex, real-world datasets rather than clean or purely academic data
  • Hands-on experience using Python for analysis (SQL and/or R a plus, but not required)
  • Ability to communicate statistical concepts clearly to non-statistical audiences
  • Comfort operating independently as a technical leader in a cross-functional, distributed environment
  • Domain knowledge in Bayesian methods

Bonus Points
  • Experience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving)
  • Knowledge of conservative Bayesian inference principles and their application to safety-critical decision-making
  • Experience with causal inference methods or Bayesian networks for understanding system dependencies
  • Advanced knowledge of MCMC methods (Hamiltonian Monte Carlo, adaptive sampling, convergence diagnostics), variational inference, and other Bayesian computational techniques to incorporate uncertainty from multiple data sources when the posterior distribution of the safety estimate does not have a closed-form solution
  • Background applying statistics to engineering or physics-based systems
  • Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling
  • Experience supporting executive or external stakeholder decision-making requiring quick turnarounds, balancing analytical rigor with timeliness

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102792
Hiring Range for Job Opening
US Pay Range
$145,900-$175,100 USD

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