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Internship Pandas Jobs in Virginia (NOW HIRING)

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R * Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar) * Active Top ...

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R * Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar) * Active Top ...

KBR

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R * Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar) * Active Top ...

All JobsPandas JobsInternship Pandas JobsInternship Pandas Jobs in Virginia

Internship Pandas information

What are the key skills and qualifications needed to thrive as an internship pandas, and why are they important?

To thrive in a Pandas internship, you need foundational knowledge of data analysis, Python programming, and a basic understanding of statistics, often supported by coursework or self-directed learning. Familiarity with the Pandas library, Jupyter Notebooks, and version control systems like Git is typically expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly help interns stand out. These skills are crucial for efficiently handling data tasks, collaborating with team members, and delivering meaningful insights in a real-world data environment.

What is the difference between Internship Pandas vs Data Analyst Intern?

AspectInternship PandasData Analyst Intern
Required SkillsBasic Python, Pandas library, data manipulationData analysis, Excel, SQL, Python or R
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, marketing sectors
Typical Duration3-6 months3-6 months
Common TasksData cleaning, analysis using PandasData visualization, reporting, analysis

Internship Pandas focuses on data manipulation using the Pandas library in Python, ideal for those interested in data cleaning and analysis. Data Analyst Intern roles often require broader skills like Excel and SQL, with tasks including reporting and visualization. Both roles are common in tech and business sectors, offering valuable experience for aspiring data professionals.

What is an internship pandas?

Internship Pandas typically refers to internship positions focused on working with the Python Pandas library, which is a powerful tool for data manipulation and analysis. Interns in these roles often assist with data cleaning, processing, and analysis tasks using Pandas, and may contribute to projects involving data science or data engineering. These internships are ideal for students or recent graduates looking to gain hands-on experience with real-world data and develop their Python programming skills.

What types of projects might I work on during an internship focused on Pandas in a data science team?

As an intern specializing in Pandas within a data science team, you can expect to be involved in tasks such as cleaning and preprocessing raw datasets, performing exploratory data analysis, and creating data visualizations to uncover trends. You may assist with building data pipelines or automating repetitive data manipulation tasks using Pandas. Collaboration with data scientists and analysts is common, as you'll often support ongoing projects and contribute to team discussions about data-driven insights. This hands-on experience is a great way to build technical skills and understand real-world data workflows.
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Internship Pandas jobs near you

AI/ML Research and Development Intern

Penn State University

Reston, VA • On-site

$15.50 - $20.75/hr

Other

Re-posted yesterday

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

226th of 615 rated colleges and universities

Job description

Graduate Student Intern

We are seeking graduate students with artificial intelligence/machine learning (AI/ML) experience to join the Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle-style competition, and develop solutions to problems in computer vision and geospatial understanding.

Students selected will serve as active, hands-on, contributing members of the research staff at ARL. As part of this position, the candidate may:

  • Work within an agile development environment with other developers, scrum master, and product owners to scope, develop, and deliver quality software solutions.
  • Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence.
  • Contribute to the development, testing, and transition of front and back-end software applications to various IT environments.
  • Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies.
  • Collaborate with cross-functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs.

Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Must have a bachelors degree and be enrolled in a masters or higher level degree program. Experience in machine learning is preferred.

Successful candidates will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at either State College, PA or Reston, VA. Relocation and housing are not provided.

What Penn State University employees say

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