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Python Intern Jobs in Pennsylvania (NOW HIRING)

Research Intern - FRA Job Location: Pittsburgh, Pennsylvania Location Flexibility: Primary Location ... S. * Proficiency in Python programming * Experience with ML/CV/Robotics Preferred Qualifications

... as an intern, contributing to the programming and testing of advanced robotic platforms, with a ... Write clean, efficient code in Python, C++, or other relevant languages. Implement algorithms for ...

The intern will work with the BII team to support the development of assigned business intelligence ... Familiarity with Excel, Power Query, DAX, Python, R, or similar analytical tools. * Interest in ...

Research Intern Fujitsu Research America's Physical AI team invites applications for research ... S. * Proficiency in Python programming * Experience with ML/CV/Robotics Preferred Qualifications

$22 - $25/hr

In this role, our intern will participate in rotations with focus areas: Customer Support, Product ... Experience with Python and other programming languages * Experience with AWS or Azure cloud-hosted ...

$22 - $25/hr

In this role, our intern will participate in rotations with focus areas: Customer Support, Product ... Experience with Python and other programming languages * Experience with AWS or Azure cloud-hosted ...

Showing results 21-40

Python Intern information

What does a Python intern do?

A Python Intern typically assists in developing, testing, and maintaining software applications using the Python programming language. They may work on tasks such as writing scripts, debugging code, automating processes, and collaborating with team members on various projects. Interns often gain hands-on experience with frameworks, libraries, and tools commonly used in Python development. The role is designed to help them build practical skills and prepare for a full-time career in software engineering.

What types of projects can a Python intern expect to work on during their internship?

As a Python Intern, you will typically be involved in supporting ongoing development projects, such as building automation scripts, data analysis tools, or assisting with backend web development. Interns often collaborate with software engineers, data scientists, or QA teams to contribute code, debug issues, and participate in code reviews. The scope of projects may vary by company, but most internships provide hands-on experience with real codebases, exposure to version control systems like Git, and opportunities to learn best practices from experienced mentors.

What are the key skills and qualifications needed to thrive as a Python intern, and why are they important?

To thrive as a Python Intern, you need a solid understanding of Python programming fundamentals, problem-solving ability, and typically a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of frameworks such as Django or Flask, and experience using code editors or IDEs are common technical requirements. Initiative, willingness to learn, and effective communication help interns stand out by enabling collaboration and adaptability in team environments. These skills ensure that interns can contribute effectively to projects, learn quickly, and integrate smoothly into professional development workflows.

What is the difference between Python Intern vs Python Developer?

AspectPython InternPython Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldProven experience, often with a degree or equivalent in computer science or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project work, team collaboration
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Common Search & ComparisonEntry-level, learning, internship opportunitiesProfessional, full-time employment, career growth

The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

What are the most commonly searched types of Python jobs in Pennsylvania?

The most popular types of Python jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Python Intern jobs?

Cities in Pennsylvania with the most Python Intern job openings:

Infographic showing various Python Intern job openings in Pennsylvania as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Full-time

Re-posted 14 days ago


Job description

The AI & Data Science Engineering Intern will support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The intern will work on initiatives that combine agentic AI workflows, computer vision, and data science to accelerate research and development in construction materials. The role includes building end-to-end prototypes that integrate backend services, AI models, and user interfaces to drive digital transformation across the organization.

Duties and Responsibilities:

  • Assist in the design and development of agentic AI workflows, integrating large language models with data sources and multi-agent orchestration.
  • Develop and maintain backend APIs and services using frameworks such as FastAPI to support AI and data science applications.
  • Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders.
  • Contribute to computer vision workflows, such as SEM image analysis and defect detection, to automate materials characterization.
  • Perform data wrangling, exploratory analysis, and statistical modeling to uncover insights from experimental, operational, and customer datasets.
  • Collaborate with the team to design, implement, and test machine learning models (regression, clustering, NLP, computer vision).
  • Document methodologies, maintain reproducible codebases, and present results to both technical and business stakeholders.
  • Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.

Qualification:

  • Currently pursuing a Master's or PhD in Computer Science, Data Science, Engineering, or a related field from an accredited university with a minimum 3.0 GPA.
  • Strong programming skills in Python with experience in libraries such as pandas, scikit-learn, OpenCV, TensorFlow/PyTorch.
  • Experience with backend frameworks (FastAPI, Flask, Django) and frontend/UI tools (Streamlit, Reflex, React-based).
  • Familiarity with LLMs, agentic AI frameworks, or orchestration tools (LangChain, LlamaIndex, or custom pipelines).
  • Solid understanding of machine learning and computer vision principles.
  • Interest in applying AI/ML to industrial and materials science challenges.

Additional Information:

Work Location: Carlisle, PA. No travel required. Remote work is not available for this position.

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