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Internship Computer Science Environmental Jobs in Hammond, IN

Cccis

Data Science Engineer Internship

Chicago, IL

$20 - $43/hr

Interns work on real pipelines and real datasets serving the auto-insurance industry and internal ... computer vision use cases. Technical environment: Python and Spark; Databricks, Delta Lake, and ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

Lead new environment setup on behalf of data science teams. As a project leader, you will take ... Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science ...

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Internship Computer Science Environmental information

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

As of Aug 17, 2026, the average hourly pay for internship computer science environmental in Hammond, IN is $17.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $19.90 per hour, depending on experience, location, and employer.

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 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 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 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.
Internship Computer Science Environmental jobs near you

Staff Scientist - Agents for Science

Argonne National Laboratory

Lemont, IL • On-site

$94K - $147K/yr

Full-time

Re-posted 22 days ago

Job description

The Argonne Leadership Computing Facility (ALCF) is seeking a Staff Scientist - Agents for Science to help pioneer AI systems that can reason, plan, act, and collaborate in support of scientific discovery. AI for science is entering a new phase. Beyond models that analyze data or make predictions, there is growing opportunity to develop agentic AI systems that can interact with scientific data, simulations, instruments, workflows, and knowledge sources in more adaptive and autonomous ways. At ALCF, we are exploring how such systems can help scientists formulate hypotheses, design experiments, navigate complex data, coordinate computational workflows, and accelerate discovery across disciplines.
This role is an opportunity to work at the frontier of agentic AI, foundation models, scientific workflows, and high-performance computing, and contribute to the Department of Energy's Genesis mission. We are looking for a creative and collaborative staff scientist/engineer who wants to develop novel methods and systems for AI agents in scientific environments and deploy them at the scale required by real scientific challenges. You will join the AI group-a highly collaborative, multidisciplinary environment and work alongside experts in AI, simulation, computer science, applied mathematics, and domain science.
Your work may include:
  • Designing and developing agentic AI systems for scientific discovery, including systems that can reason, plan, retrieve information, invoke tools, and execute multi-step scientific tasks
  • Developing agents that can interact with simulation workflows, data pipelines, scientific software, instruments, knowledge bases, and computational tools
  • Building methods for tool use, workflow orchestration, memory, planning, adaptation, and decision-making in scientific environments
  • Evaluating agent performance in terms of scientific usefulness, reliability, robustness, efficiency, and safety
  • Conduct research and development aligned with Argonne's strategic mission in computation, AI, and scientific discovery.
  • Contribute to a team culture that values scientific excellence, collaboration, innovation, and inclusive professional growth.

This position qualifies as "Hybrid Remote Work - Mostly Onsite": which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working up to 40% of their time remotely.
Position Requirements
Required Qualifications:
  • RD2: Bachelor's degree and 5+ years of experience, or Master's degree and 3+ years of experience, or PhD and 0+ years of experience, or equivalent
  • Educational background in computer science, machine learning, artificial intelligence, computational science, applied mathematics, or a related field, PhD preferred
  • Experience with reinforcement learning, planning, or sequential decision-making
  • Strong programming skills in one or more languages such as Python, C, C++
  • Experience with one or more AI frameworks such as PyTorch, JAX, or related tools
  • Experience designing, implementing, and evaluating complex AI systems
  • Good communication skills, both verbal and written.
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications:
  • Experience with LLM-based systems, retrieval-augmented generation, tool calling, or workflow agents
  • Experience integrating AI systems with scientific software, simulations, databases, or experimental workflows
  • Experience with distributed training, inference systems, or HPC environments

Job Family
Research Development (RD)
Job Profile
Computer Science 2
Worker Type
Regular
Time Type
Full time
The expected hiring range for this position is $94,486.00 - $147,398.94.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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