Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...
Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...
CYBERSECURITY ANALYST INTERN
Charlottesville, VA · On-site
$23.49 - $29.55/hr
Basic scripting knowledge (PowerShell, Python), preferred What Success Looks Like In This Role ... Machinery's internship pay guidelines. Actual base pay may vary based on experience, skills ...
CYBERSECURITY ANALYST INTERN
Charlottesville, VA · On-site
$23.49 - $29.55/hr
Basic scripting knowledge (PowerShell, Python), preferred What Success Looks Like In This Role ... Machinery's internship pay guidelines. Actual base pay may vary based on experience, skills ...
Internship Python information
See Charlottesville, VA salary details
$13.12 - $19.71
1% of jobs
$19.71 - $26.30
0% of jobs
$26.30 - $32.89
2% of jobs
$32.89 - $39.48
5% of jobs
$39.48 - $46.07
11% of jobs
$48.01 is the 25th percentile. Wages below this are outliers.
$46.07 - $52.66
18% of jobs
The median wage is $56.10 / hr.
$52.66 - $59.25
24% of jobs
$64.29 is the 75th percentile. Wages above this are outliers.
$59.25 - $65.84
18% of jobs
$65.84 - $72.43
13% of jobs
$72.43 - $79.02
5% of jobs
$79.02 - $85.61
3% of jobs
$13
$58
$85
How much do internship python jobs pay per hour?
As of Sep 1, 2026, the average hourly pay for internship python in Charlottesville, VA is $58.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $66.06 per hour, depending on experience, location, and employer.
What is an internship Python?
An Internship Python job is a temporary position where interns gain hands-on experience working with Python in real-world projects. Typically, interns assist in coding, debugging, data analysis, and automation tasks under the guidance of experienced developers. These internships help build practical programming skills and improve problem-solving abilities. They are often offered by tech companies, startups, and research institutions.
What types of projects and responsibilities can I expect during a Python internship?
During a Python internship, you can expect to work on a variety of tasks such as writing and testing Python scripts, assisting in the development of web applications, automating data processing pipelines, or contributing to team-based coding projects. Interns often collaborate with senior developers and may participate in code reviews, debugging sessions, and regular team meetings. These projects are designed to give hands-on experience with professional development workflows and tools, helping interns build both their technical and teamwork skills. You may also have opportunities to learn about project management practices and contribute ideas to real-world solutions. Many organizations offer mentorship and structured feedback to help you grow and prepare for future roles in software development.
What are the key skills and qualifications needed to thrive in the internship Python position, and why are they important?
To thrive as an Internship Python candidate, you should have a solid understanding of Python programming fundamentals, data structures, and algorithms, often backed by coursework or self-taught projects. Familiarity with version control systems like Git and experience working with Python libraries such as pandas, NumPy, or Flask is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills for this position. These skills enable you to effectively contribute to team projects, adapt to real-world coding tasks, and grow within a professional software development environment.
Are Python coders in demand?
Python coders are highly in demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in automation, web development, and machine learning. Employers seek Python skills for roles involving scripting, data analysis, and software development, often requiring knowledge of frameworks like Django or libraries such as Pandas and TensorFlow.
Is a Python internship worth it?
A Python internship provides practical experience in programming, often involving tasks with Python, data analysis, or automation, which can enhance a candidate's skills and employability. It offers opportunities to learn industry tools, build a portfolio, and network with professionals, making it a valuable step for those pursuing a career in software development or data science.
What jobs can I get with Python experience?
Python experience can qualify you for roles such as software developer, data analyst, data scientist, automation engineer, and backend developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control tools like Git.
More about Internship Python jobs
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For Internship Python jobs in Charlottesville, VA, the most frequently searched job titles are:
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What cities near Charlottesville, VA are hiring for Internship Python jobs?
Cities near Charlottesville, VA with the most Internship Python job openings:
Full-time
Re-posted 4 days ago
General Atomics rating
9.0
Based on 39 frontline employees who took The Breakroom Quiz
10th of 72 rated aerospace companies
Job description
Job Summary
Are you a statistician who wants to see your Bayesian models protect national security?
GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions. You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints.
Your work will span algorithm research, operational analysis, and production deployment-from deriving novel filters to validating performance on classified sensor data to partnering with engineers who implement your algorithms at scale.
DUTIES AND RESPONSIBILITIES:
Algorithm Research and Development:
Operational Impact:
Research Leadership:
Job Qualifications
Preferred Qualifications:
Domain Experience:
Research Background:
Technical Breadth:
Why Join GA-Intelligence
Operational Impact: Your tracking algorithms will run in production systems supporting intelligence analysts and military personnel. Your work directly contributes to national security missions.
Technical Challenge: Multi-target tracking in adversarial environments with heterogeneous sensors is an unsolved research problem. You'll tackle cutting-edge algorithmic challenges that combine statistical rigor with operational constraints.
Collaborative Environment: Work alongside tracking mathematicians, software engineers, intelligence analysts, and mission experts. We value diverse perspectives and believe the best solutions emerge from multidisciplinary collaboration. Our team is committed to advancing the state-of-the-art in tracking while maintaining a culture of innovation, integrity, and teamwork.
Research Opportunities: Continue publishing research, present at conferences, and contribute to the tracking research community while delivering operational capabilities.
Charlottesville Location:
Career Growth:
Are you a statistician who wants to see your Bayesian models protect national security?
GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions. You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints.
Your work will span algorithm research, operational analysis, and production deployment-from deriving novel filters to validating performance on classified sensor data to partnering with engineers who implement your algorithms at scale.
DUTIES AND RESPONSIBILITIES:
Algorithm Research and Development:
- Guide the development of state-of-the-art tracking algorithms from existing tracking literature, ensuring technical correctness.
- Develop statistical approaches to data association in multi-target, multi-sensor environments
- Derive probabilistic models for target behavior and sensor measurement processes
- Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo simulation
- Apply modern statistical and computational methods to emerging tracking challenges
Operational Impact:
- Collaborate with intelligence analysts to understand tracking requirements and operational constraints
- Analyze tracking performance on real-world sensor data from classified systems
- Quantify and communicate uncertainty, assumptions, and limitations to support operational decision-making
- Translate operational gaps into tractable statistical problems
- Partner with software engineers to transition algorithms from prototype to production
Research Leadership:
- Publish internal research on tracking advances and algorithmic innovations
- Present findings to technical staff, program managers, and government decision-makers, as well as external conferences
- Contribute to proposal development and help shape future research directions
- Mentor junior team members and future hires
- Stay current with tracking research literature and evaluate applicability to operational problems
Job Qualifications
- Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; five or more years of experience with a bachelor's degree, three or more years of experience with a master's degree, or one or more years with a PhD. May substitute equivalent experience in lieu of education.
- Strong preference for PhD in Statistics, Biostatistics, or closely related quantitative field
- Dissertation research in Bayesian inference, state-space modeling, sequential estimation, or time series analysis
- Strong foundations in statistical inference, probability theory, statistical modeling, and Bayesian methods
- Deep understanding of state-space models, Kalman filtering, and sequential Monte Carlo methods
- Expertise in stochastic processes and time series analysis
- Proficiency in Python, MATLAB, R, or similar scientific computing languages
- Experience implementing statistical algorithms and conducting simulation studies
- Strong analytical and problem-solving abilities
- Ability to communicate complex statistical concepts clearly to technical and non-technical audiences
- Curiosity about operational applications and mission context
- Collaborative mindset-works well with software engineers, intelligence analysts, and researchers
- Ability to obtain and maintain a DoD security clearance is required.
Preferred Qualifications:
Domain Experience:
- Familiarity with tracking, navigation, or multi-target systems
- Experience with sensor fusion or data association problems
- Knowledge of Extended Kalman Filters, Unscented Kalman Filters, particle filters, or IMM filters
- Understanding of coordinate transformations and reference frames
Research Background:
- Contributed to peer-reviewed publications, technical reports, or conference presentations
- Experience with probabilistic programming frameworks
- Dissertation work involving real-world sensor data or applied problems
- Prior internships or collaborations with defense, aerospace, or robotics organizations
- Experience writing technical proposals for government research projects
- Experience leading technical projects or mentoring junior researchers
Technical Breadth:
- Programming experience in one or more languages such as Python, C++, Java
- High-performance computing or numerical optimization
- Version control (Git) and collaborative development practices
- Exposure to real-time systems or computational constraints
Why Join GA-Intelligence
Operational Impact: Your tracking algorithms will run in production systems supporting intelligence analysts and military personnel. Your work directly contributes to national security missions.
Technical Challenge: Multi-target tracking in adversarial environments with heterogeneous sensors is an unsolved research problem. You'll tackle cutting-edge algorithmic challenges that combine statistical rigor with operational constraints.
Collaborative Environment: Work alongside tracking mathematicians, software engineers, intelligence analysts, and mission experts. We value diverse perspectives and believe the best solutions emerge from multidisciplinary collaboration. Our team is committed to advancing the state-of-the-art in tracking while maintaining a culture of innovation, integrity, and teamwork.
Research Opportunities: Continue publishing research, present at conferences, and contribute to the tracking research community while delivering operational capabilities.
Charlottesville Location:
- Blue Ridge Mountains and Shenandoah National Park (30 minutes)
- University town culture with intellectual community (University of Virginia)
- Short average commute (no DC Beltway traffic)
Career Growth:
- Build and lead tracking algorithm research team over time
- Technical leadership opportunities
- Shape strategic direction of tracking capabilities
What General Atomics employees say
Pay
Benefits
Hours and flexibility
Workplace
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About General Atomics
Sourced by ZipRecruiter
General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.
Industry
Space research administration
Company size
10,000+ Employees
Headquarters location
San Diego, CA, US
Year founded
1955