ZipRecruiter

Log In

1

Internship Python Pandas Jobs in Tennessee (NOW HIRING)

All JobsPython Pandas JobsInternship Python Pandas JobsInternship Python Pandas Jobs in Tennessee

Internship Python Pandas information

What are the key skills and qualifications needed to thrive as an Internship Python Pandas, and why are they important?

To thrive in a Python Pandas internship, you need a solid understanding of Python programming, data manipulation, and familiarity with the Pandas library, often supported by coursework or personal projects in data analysis. Experience with tools such as Jupyter Notebook, NumPy, and version control systems like Git is commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly will help you stand out. These skills and qualities are crucial for efficiently handling real-world datasets, contributing to team projects, and delivering actionable insights.

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

As a Python Pandas intern, you will typically work on data-driven projects such as data cleaning, transformation, analysis, and visualization. You might assist in preparing datasets for machine learning models, generating reports, or automating data workflows using Pandas and related libraries. Interns often collaborate with data scientists or analysts, gaining hands-on experience with real-world datasets and contributing to team objectives. This role offers a supportive environment to develop technical skills and learn industry best practices while making a meaningful impact.

What are Internship Python Pandas positions?

Internship Python Pandas positions are entry-level roles designed for students or recent graduates to gain hands-on experience working with Python and the Pandas library. These internships typically involve tasks like data cleaning, analysis, and manipulation using Pandas, often within the context of real-world projects. Interns may work on data-driven applications or support teams in preparing datasets for machine learning or business intelligence. These roles help interns build practical skills in data science and software development, and often serve as a stepping stone to more advanced roles in the tech industry.

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

AspectInternship Python PandasData Analyst
Required SkillsPython, Pandas, basic data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentInternship, entry-level, training-focusedFull-time, professional setting, project-driven
Industry UsageLearning phase, supporting data tasksInterpreting data, reporting, decision-making

Internship Python Pandas roles focus on learning and supporting data tasks using Python and Pandas, often as entry-level positions. Data Analysts have broader responsibilities, including interpreting data, creating reports, and making data-driven decisions. While both roles require some overlapping skills, Data Analysts typically have more experience and a wider skill set.

What are the most commonly searched types of Python Pandas jobs in Tennessee? The most popular types of Python Pandas jobs in Tennessee are:
What are popular job titles related to Internship Python Pandas jobs in Tennessee? For Internship Python Pandas jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Internship Python Pandas jobs in Tennessee look for? The top searched job categories for Internship Python Pandas jobs in Tennessee are:
Internship Python Pandas jobs near you
Analytics Engineer I (Entry-Level) (3897)

Analytics Engineer I (Entry-Level) (3897)

Navarro Inc.

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak Ridge, TN.
Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.
Position Summary
The Analytics Engineer I (Entry-Level) will support Navarro's Data & Analytics team by helping build and maintain data pipelines, assisting with reporting and dashboarding efforts, and contributing to applied AI projects. This role is well suited for an early-career professional interested in growing into a strong analytics or applied AI contributor, including work involving AI/ML techniques to extract, structure, and validate key information from unstructured documents.
Responsibilities
  • Assist in designing, building, and maintaining data pipelines and ETL/ELT processes.
  • Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
  • Support the development of dashboards and reports using Excel and other business intelligence tools.
  • Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
  • Build and support AI/ML-driven workflows for extracting key text and structured data from documents, including NLP, LLM-based extraction, and OCR plus ML pipelines.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data and applied AI project needs.
  • Help document data models, pipeline logic, and AI/ML workflow processes.
  • Contribute to data quality checks and validation processes for both traditional data and AI-generated outputs.

Requirements
Requirements
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • Working knowledge of SQL for querying and manipulating data.
  • Proficiency in Excel, including formulas, pivot tables, and data visualization.
  • Proficiency in Python and/or R, including experience with relevant ML/AI libraries such as pandas, scikit-learn, or similar tools.
  • Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text extraction, natural language processing, or document processing.
  • Strong analytical and problem-solving skills.
  • Good communication skills and the ability to work in a collaborative, cross-functional environment.
  • Attention to detail and a commitment to data accuracy.

Preferred Qualifications
  • Master's degree in a relevant quantitative field.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud and BI tools such as Tableau, Power BI, or Looker.
  • Familiarity with version control, such as Git, and basic software engineering practices.
  • Experience with LLM-based tools or APIs for document parsing, text extraction, entity recognition, or information extraction.
  • Experience with OCR tools or unstructured document processing, including PDF or text parsing libraries
  • Local candidates are preferred.

Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required.
Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran's status, or any classification protected by applicable state or local law.
EEO Employer/Vet/Disabled
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Short Term & Long Term Disability

Apply