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Environmental Data Science Intern Jobs in Arizona

Intel Corporation

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Experience deploying AI/ML solutions into production environments. * Experience developing APIs and ...

WSP

Early Career Environmental Scientist

Phoenix, AZ · On-site

$71K - $94K/yr

... spatial data concerning a variety of biological, physical, and earth sciences. Provides local ... Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, Geology ...

WSP

Early Career Environmental Scientist

Phoenix, AZ · On-site

$71K - $94K/yr

... spatial data concerning a variety of biological, physical, and earth sciences. Provides local ... Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, Geology ...

QuantumClean

Data Scientist

Phoenix, AZ · On-site

Experience * 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive ...

Unitek Learning

People Data Scientist

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. The People Data Scientist applies advanced statistical, analytical, and data science ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. The People Data Scientist applies advanced statistical, analytical, and data science ...

Unitek Learning

People Data Scientist

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. The People Data Scientist applies advanced statistical, analytical, and data science ...

Republic Services, Inc.

Data Scientist III

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous ... Experience building, deploying, and monitoring models in cloud environments. * Working knowledge of ...

Republic Services

Data Scientist III

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous ... Experience building, deploying, and monitoring models in cloud environments. * Working knowledge of ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous ... Experience building, deploying, and monitoring models in cloud environments. * Working knowledge of ...

Republic Services

Data Scientist III

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous ... Experience building, deploying, and monitoring models in cloud environments. * Working knowledge of ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

Experience * 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive ...

UltraClean Technology

Data Scientist

Phoenix, AZ · On-site

Experience * 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Arizona

Environmental Data Science Intern information

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an environmental data science intern, and why are they important?

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

What is the difference between Environmental Data Science Intern vs Environmental Data Analyst?

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What are popular job titles related to Environmental Data Science Intern jobs in Arizona?

For Environmental Data Science Intern jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science Intern jobs in Arizona look for?

The top searched job categories for Environmental Data Science Intern jobs in Arizona are:

What cities in Arizona are hiring for Environmental Data Science Intern jobs?

Cities in Arizona with the most Environmental Data Science Intern job openings:

Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in Arizona as of August 2026, with employment types broken down into 6% Internship, 72% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution.

Senior AI / Data Science Engineer

Intel Corporation

Phoenix, AZ • On-site

$105K - $143K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Job description

Job Details:
Job Description:
Join Intel and build a better tomorrow.
Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High Volume Manufacturing (HVM), accelerating technology readiness, manufacturing maturity, yield improvement, and operational excellence across Intel's product and foundry ecosystem. MDCE partners across engineering organizations to transform manufacturing insights into scalable production solutions that enable Intel's foundry strategy and future growth.
As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the development, deployment, and adoption of advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies that accelerate yield learning, improve process optimization, and increase engineering productivity across Intel Foundry.
The successful candidate will combine deep expertise in semiconductor manufacturing analytics, AI/ML methodologies, and software engineering with the ability to influence cross-functional stakeholders and drive innovation at scale.
Key Responsibilities:
  • Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges.
  • Drive adoption of AI technologies across MDCE and partner engineering organizations, enabling data-driven decision making and measurable business impact.
  • Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery.
  • Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root causes, and optimization opportunities.
  • Design and implement scalable data pipelines, analytics frameworks, and AI infrastructure that enable robust and sustainable manufacturing analytics.
  • Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges.
  • Establish best practices for AI model development, software quality, deployment, monitoring, and lifecycle management.
  • Lead cross-functional technical initiatives and influence strategic AI roadmaps across multiple engineering organizations.
  • Mentor engineers and contribute to the growth of Intel's technical AI and Data Science community.
  • Support Intel Foundry's manufacturing excellence objectives through innovative applications of AI, machine learning, and advanced analytics.

Core Competencies
  • Ability to collaborate effectively within a team setting.
  • Excellent Communication Skills.

Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • 6+ years of industry experience in one or more of the following: Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
  • 5+ Years of Semiconductor industry experience with manufacturing, process, and yield-related challenges.
  • Strong programming experience in Python and SQL including developing scalable data pipelines and production-quality analytical solutions.
  • Experience leading cross-functional technical projects and driving business impact through data-driven solutions.

Preferred Qualifications
  • Post graduate degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • Experience driving AI transformation initiatives across large engineering organizations.
  • Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures.
  • Experience deploying AI/ML solutions into production environments.
  • Experience developing APIs and microservices.
  • Semiconductor foundry experience.
  • Background in Yield Engineering, Process Integration, Process Development, or Manufacturing Engineering.
  • Proven track record mentoring engineers and providing technical leadership

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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