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Applied Science Intern Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$16.50 - $21.50/hr

AND POSITION REQUIREMENTS Undergrad Engineering Support Specialist Intern The Materials Science Division of Applied Research Lab (ARL) is looking for several highly motivated undergraduate students ...

The Pennsylvania State University

$16.50 - $21.50/hr

... Division of Applied Research Lab (ARL) is looking for several highly motivated undergraduate ... Materials Science and Engineering (MATSE) * Mechanical Engineering * Engineering Science

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Applied Science Intern information

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How much do applied science intern jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for applied science intern in Pennsylvania is $22.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.63 and $23.14 per hour, depending on experience, location, and employer.

What does an applied science intern do?

An Applied Science Intern typically works on research and development projects that involve applying scientific and quantitative methods to solve real-world problems. Their tasks may include data analysis, building machine learning models, conducting experiments, and collaborating with engineers or scientists to develop innovative solutions. Interns often gain hands-on experience with advanced technologies and tools while contributing to impactful projects within a company or research lab.

What are the key skills and qualifications needed to thrive as an applied science intern?

To thrive as an Applied Science Intern, you need a solid background in mathematics, statistics, and programming, typically supported by coursework or a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (such as Python, R, or MATLAB), machine learning frameworks, and cloud platforms is often required. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills are vital for contributing to research-driven projects, interpreting complex data, and collaborating efficiently with multidisciplinary teams.

What types of projects do applied science interns typically work on, and how much independence is expected?

Applied Science Interns usually contribute to research-driven projects that involve data analysis, algorithm development, or building prototypes to solve real business problems. While interns often collaborate closely with experienced scientists, they are also expected to take initiative, perform independent research, and present their findings to the team. Regular check-ins and mentorship are common, but you'll be encouraged to bring fresh ideas and drive small-scale experiments or analyses on your own. This balance of guidance and autonomy helps interns gain practical experience and prepares them for future full-time roles.

What is the difference between Applied Science Intern vs Research Intern?

AspectApplied Science InternResearch Intern
Required CredentialsTypically pursuing or holding a degree in applied sciences, engineering, or related fieldsUsually students or recent graduates in science, engineering, or related disciplines
Work EnvironmentHands-on, practical projects in labs, manufacturing, or industry settingsLaboratory, academic, or theoretical research environments
Employer & Industry UsageIndustries like manufacturing, technology, and engineering firmsUniversities, research institutes, and R&D departments

Applied Science Interns focus on applying scientific principles to real-world projects within industry settings, while Research Interns typically work on theoretical or experimental research in academic or research institutions. Both roles require a background in science or engineering but differ mainly in their work environment and project focus.

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

The most popular types of Applied Science jobs in Pennsylvania are:

What are popular job titles related to Applied Science Intern jobs in Pennsylvania?

For Applied Science Intern jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Applied Science Intern jobs in Pennsylvania look for?

The top searched job categories for Applied Science Intern jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Applied Science Intern jobs?

Cities in Pennsylvania with the most Applied Science Intern job openings:

Applied Science Intern jobs near you
Infographic showing various Applied Science Intern job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $47,730 per year, or $22.9 per hour.

AI & Data Science Intern

Carlisle, PA • On-site

Carlisle Companies, Inc.
Machinery Manufacturing • 501 - 1,000 employees
Learn more about Carlisle Companies, Inc.external

Full-time

Re-posted 26 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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