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Internship Computer Science Environmental Jobs in Pittsburgh, PA

Cmu

Data Scientist

Pittsburgh, PA

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... environment * Strong communication skills * Expertise in one or more of the following:

Cmu

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... environment * Strong communication skills * Expertise in one or more of the following:

Cmu

Senior Data Scientist

Pittsburgh, PA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... environment * Strong communication skills * Expertise in one or more of the following:

Fujitsu

Research Intern - FRA

Pittsburgh, PA · On-site

... environmental impact, improve their efficiency, and create a more equitable society. We are ... Interns will research and build systems that integrate LLMs, machine learning, computer vision, and ...

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Internship Computer Science Environmental information

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$10

$18

$24

How much do internship computer science environmental jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship computer science environmental in Pittsburgh, PA is $18.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.05 per hour, depending on experience, location, and employer.

What is an internship in computer science focused on environmental applications?

Internship positions in computer science with an environmental focus involve applying programming, data analysis, and computational skills to address environmental issues. Interns may work on projects such as developing software for environmental monitoring, analyzing climate or pollution data, or creating models to predict environmental changes. These positions are typically offered by research institutions, environmental organizations, tech companies, or government agencies working on sustainability initiatives. Interns gain hands-on experience while contributing to solutions for real-world environmental challenges.

What types of projects do computer science interns typically work on in the environmental sector?

Computer Science interns in the environmental sector often contribute to projects like developing data analysis tools for environmental monitoring, creating software for modeling climate change impacts, and building applications to support sustainable resource management. These roles frequently involve collaborating with environmental scientists, engineers, and policy teams to translate complex data into actionable insights. Interns may also assist in automating data collection processes or visualizing large datasets to help organizations make informed decisions. This hands-on experience gives interns a valuable opportunity to apply their technical skills to real-world sustainability challenges, while learning how interdisciplinary teams operate.

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

To thrive as an Environmental Computer Science Intern, you need foundational knowledge in programming languages (like Python or R), data analysis, and environmental science principles, often supported by ongoing or completed coursework in these areas. Familiarity with GIS software, data visualization tools, and environmental modeling platforms is typically expected. Strong problem-solving skills, teamwork, and effective communication help interns contribute to multi-disciplinary projects and collaborate with professionals from different backgrounds. These skills enable interns to analyze complex environmental data, develop sustainable solutions, and communicate findings clearly, which are essential for impactful work in this field.

What is the difference between Internship Computer Science Environmental vs Environmental Technician?

AspectInternship Computer Science EnvironmentalEnvironmental Technician
Required CredentialsTypically pursuing or recent graduate in Computer Science or Environmental ScienceAssociate's or Bachelor's in Environmental Science or related field
Work EnvironmentOffice, lab, or field; focus on data analysis and software toolsFieldwork, sampling, site assessments, lab work
Employer & Industry UsageTech companies, environmental agencies, research institutionsEnvironmental consulting firms, government agencies, industrial sites
Common Search & Comparison IntentUnderstanding internship roles in environmental techClarifying technician duties and qualifications

The Internship Computer Science Environmental typically involves gaining experience in software development, data analysis, and environmental data management within tech or research settings. In contrast, an Environmental Technician focuses on field sampling, environmental assessments, and compliance testing. Both roles support environmental goals but differ in work environment, required skills, and daily tasks.

What are the most commonly searched types of Computer Science Environmental jobs in Pittsburgh, PA?

The most popular types of Computer Science Environmental jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Internship Computer Science Environmental jobs?

Cities near Pittsburgh, PA with the most Internship Computer Science Environmental job openings:

Internship Computer Science Environmental jobs near you

Data Scientist

Software Engineering Institute

Pittsburgh, PA • On-site

Full-time

Re-posted 17 days ago

Job description

What We Do:
Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:
  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
  • Willingness to complete modest travel to various locations to support the SEI's overall mission.
  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:
  • Experience in predictive modeling, data science, and/or AI & machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
  • Strong communication skills
  • Expertise in one or more of the following:
  • Recommendation systems
  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:
  • Experience in cybersecurity and privacy is a plus is a plus
  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
  • Demonstrated ability to learn new concepts and grow into new areas of work

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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