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Environmental Data Science Intern Jobs in Phoenix, AZ

Lead Data Science Consultant

Phoenix, AZ · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

Wells Fargo is seeking a Lead Data Science Consultant, focused on the delivery of advanced ... environment and across all organizational levels, where flexibility, collaboration, and ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of ... Proven experience deploying AI/ML solutions in production environments. * Strong knowledge of cloud ...

Help integrate data into training and recovery planning. * Collaborate with coaches, therapists, and sports scientists to monitor athlete progress. * Support applied research, literature review, and ...

Proven experience deploying AI/ML solutions in production environments. * Strong knowledge of cloud ... Oversee data science project lifecycles, from ideation to production, ensuring alignment with ...

Data Scientist

Tempe, AZ · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

... environment. Why Join Our Data Science Team? At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to ...

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Familiarity with cloud‑based AI/ML environments. * Experience working in enterprise‑scale AI initiatives. Experience Required 5+ years of experience in Data Science, Machine Learning, or ...

Familiarity with cloud-based AI/ML environments. Experience working in enterprise-scale AI initiatives. Experience Required: 5+ years of experience in Data Science, Machine Learning, or AI-related ...

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Environmental Data Science Intern information

See Phoenix, AZ salary details

$11

$22

$41

How much do environmental data science intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for environmental data science intern in Phoenix, AZ is $22.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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 Phoenix, AZ?

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

What job categories do people searching Environmental Data Science Intern jobs in Phoenix, AZ look for?

The top searched job categories for Environmental Data Science Intern jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Environmental Data Science Intern jobs?

Cities near Phoenix, AZ with the most Environmental Data Science Intern job openings:

Infographic showing various Environmental Data Science Intern job openings in Phoenix, AZ as of August 2026, with employment types broken down into 10% Internship, 73% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $46,477 per year, or $22.3 per hour.

Data Science Intern, Interconnection & Transmission

Arevon

Scottsdale, AZ • On-site

Internship

Posted 4 days ago


Job description

The Position

Arevon is recruiting for the position of Data Science Intern, Interconnection & Transmission, an outstanding opportunity for individuals seeking an exciting, high-growth work environment in one of the most important industries for the 21st century.

The Data Science Intern will support the Interconnection and Transmission teams by ensuring accurate collection, organization, and maintenance of critical data across multiple systems. This role will focus on collecting, compiling, and/or sourcing data/information from multiple sources, transforming it into useable database(s).

The role will also provide an opportunity to gain an understanding of how data can be used across various cutting-edge tools used in the electric generation and transmission industry.

Projects:

  • Map Eastern Interconnection (EI) and Western Electricity Coordinating Council (WECC) Generation Interconnection Queues (GIQ) and transmission projects to raw source files.
  • Aggregate, map and process regional ISO/RTO queue filings, tracking project statuses (e.g., active, under study, withdrawn, operational) and Interconnection customer data.
  • Develop a change-set tracker to monitor changes in transmission object characteristics - Line Status, impedance, voltage  Magnitude, Bus Angle, etc.- between various study cases.

Assist in automating data extraction, web scraping, mapping, change-detection processes across all core interconnection projects.

Key Responsibilities

  • Extract, update and validate electrical topology, system study cases and GIQ data.
  • Parse regional queue applications, commercial operation dates, capacity values, resource types (solar, wind, storage, thermal) to maintain a unified data pipeline.
  • Identify opportunities to automate data ingestion from grid operator portals (e.g., PJM, MISO, CAISO, SPP, ERCOT) and improve workflow efficiency. Maintain a systematic repository of data issues, study case mismatches, queue record discrepancies assisting in their resolution.

Maintain and query backend databases that feed key operational dashboards, interconnection cost models and transmission analytics.

Required Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related technical discipline.
  • Proficiency in Python, SQL, or other programming languages used for data analysis and automation.
  • Strong analytical and problem-solving skills with the ability to interpret and organize complex datasets.
  • Prefer general understanding of electric grid fundamentals, power systems, ISO/RTO interconnection processes or transmission planning concepts.
  • Experience working with Microsoft Excel and data management tools. Effective written and verbal communication skills.
  • Familiarity with relational databases and data transformation techniques. Ability to collect, clean, validate, and organize data from multiple sources. Strong attention to detail and commitment to data accuracy.
  • Ability to work independently while collaborating in a team environment.

Preferred Qualifications

  • Coursework or experience in electric power systems, transmission planning, data standardization, automation, or energy markets.
  • Experience with data analysis libraries such as Pandas, NumPy, or similar tools.
  • Familiarity with GIS, spatial data, or mapping tools.
  • Knowledge of power system modeling software such as PSSE/TARA, PROBE, or similar applications.
  • Understanding electric transmission networks or utility operations.
  • Experience with SQL databases and ETL (Extract, Transform, Load) processes.
  • Experience developing scripts or automating repetitive data processing tasks.
  • Familiarity with version control on large databases.
  • Experience creating dashboards or reports using Power BI, Tableau, or similar visualization tools.
  • Previous internship, research, or project experience in the energy, utility, or renewable energy industry.

Equal Opportunity Employer Statement

Arevon is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We encourage candidates of all backgrounds to apply.