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Environmental Data Science Intern Jobs in Milwaukee, WI

Generac

Data Science Analyst

Waukesha, WI · On-site

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... environment, and the use of open-source tools, cloud computing, machine learning and data ...

Deloitte

Lead AI and Data Science Engineer II

Milwaukee, WI · On-site

$101K - $133K/yr

Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent ...

Tcenergy

Environmental Specialist

Kewaskum, WI · On-site +1

Manage and prepare environmental data and reports for submittal to local, state, and federal ... An accredited Bachelors or Masters of Science or Arts degree in an environmental science, planning ...

TC Energy

Environmental Specialist

Kewaskum, WI · On-site

Manage and prepare environmental data and reports for submittal to local, state, and federal ... An accredited Bachelors or Masters of Science or Arts degree in an environmental science, planning ...

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All JobsEnvironmental Data Science Intern JobsEnvironmental Data Science Intern Jobs in Milwaukee, WI

Environmental Data Science Intern information

See Milwaukee, WI salary details

$11

$22

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

As of Aug 11, 2026, the average hourly pay for environmental data science intern in Milwaukee, WI is $22.17, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.13 per hour, depending on experience, location, and employer.

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 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 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 are popular job titles related to Environmental Data Science Intern jobs in Milwaukee, WI? For Environmental Data Science Intern jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science Intern jobs in Milwaukee, WI look for? The top searched job categories for Environmental Data Science Intern jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Environmental Data Science Intern jobs? Cities near Milwaukee, WI 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 Milwaukee, WI as of August 2026, with employment types broken down into 10% Internship, 74% Full Time, 10% Part Time, 3% Temporary, and 3% Contract. Highlights an 84% In-person, 3% Hybrid, and 13% Remote job distribution, with an average salary of $46,118 per year, or $22.2 per hour.

Data Science Analyst

Generac

Waukesha, WI • On-site

Full-time

Re-posted 3 days ago

Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

350th of 487 rated machine equipment manufacturers

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.

The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.

*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*

Minimum Qualifications:

  • Bachelor Degree

  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:

  • Relational database experience & Experience query databases (ex: SQL, MySql).

  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).

  • Experience with statistical analysis languages (ex: R, Python, SQL).

  • Experience on using the cloud platform (ex Azure, AWS..)

  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:

  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases

  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

  • Translating business requirements; informing data/information needs and data collection methods

  • Create custom data models & create pipelines and algorithms as needed & produce Data insights

  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

  • Supporting end-users; and documenting processes and deliverables

  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:

  • Ability to write complex SQL queries, data visualization

  • Proficiency in database applications and MS Office with excellent Excel skills.

  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.

  • Ability to simplify complex findings to develop unique, practical solutions.

  • Able to understand various data structures and common methods in data transformation.

  • Excellent pattern recognition and predictive modeling skills.

  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.

  • Self-motivated and able to work with minimal direction

#LI-BB1

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionallylift upto 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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