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Internship Data Science Astronomy Jobs in Appleton, WI

Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S ... Venture's Internship Program runs May - August 2027. Dates may vary based on individual class ...

Hydrogeologist/Hydrologist

Green Bay, WI · On-site

$50K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Foth is a 100% member-owned science and engineering consulting firm headquartered in Wisconsin ... Perform quantitative analysis of hydrologic and hydrogeological data, including probabilistic ...

Foth is a 100% member-owned science and engineering consulting firm headquartered in Wisconsin ... Perform quantitative analysis of hydrologic and hydrogeological data, including probabilistic ...

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Internship Data Science Astronomy information

See Appleton, WI salary details

$11

$21

$41

How much do internship data science astronomy jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship data science astronomy in Appleton, WI is $21.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.94 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Science Astronomy vs Internship Data Analysis?

AspectInternship Data Science AstronomyInternship Data Analysis
Required CredentialsBasic programming, statistics, astronomy knowledgeStatistics, Excel, basic programming
Work EnvironmentResearch labs, observatories, academic institutionsBusiness, finance, healthcare, or tech companies
Industry UsageResearch projects, space agencies, academiaBusiness insights, reporting, decision-making

Internship Data Science Astronomy focuses on applying data science skills to astronomical data, often within research or academic settings. In contrast, Internship Data Analysis is broader, covering various industries where data interpretation supports business decisions. While both roles require analytical skills, the astronomy internship emphasizes scientific research and space data, whereas data analysis internships are more industry-specific and business-oriented.

What cities near Appleton, WI are hiring for Internship Data Science Astronomy jobs?

Cities near Appleton, WI with the most Internship Data Science Astronomy job openings:

Infographic showing various Internship Data Science Astronomy job openings in Appleton, WI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $45,673 per year, or $22 per hour.

Data Science Intern

US Venture, Inc.

Appleton, WI • On-site

Full-time

Posted 19 days ago


U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

91st of 419 rated retail wholesalers


Job description

POSITION SUMMARY
Join the U.S. Venture Data and Analytics team as a Data Science Intern for Summer 2027!
U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This position is located at our Corporate Office in Appleton, WI.
JOB RESPONSIBILITIES
  • The ideal candidate is a data enthusiast who is looking to apply data science methodologies and solutions in industry to solve real-world business scenarios.

  • The right candidate will be excited by the prospect of identifying and implementing data science solutions that support US Venture's strategic initiatives.

  • We are seeking an intern who is self-directed and will be comfortable supporting the data needs of multiple teams, systems, and products.

  • We are seeking a team player possessing strong analytical as well as technical skills and who can communicate the logic behind technical decisions to non-technical stakeholders.

  • Other duties as assigned

QUALIFICATIONS
  • Pursuing a bachelor's or advanced degree in Data Science, Statistics, Computer Science, or related field
  • Ability to build processes that support data transformation, data structures, metadata, dependency, and workload management
  • Proficiency in Python, with a strong emphasis on data manipulation and analysis using libraries such as Pandas
  • Basic understanding of machine learning concepts and algorithms
  • Demonstration of previous data science projects is preferred
  • Strong interpersonal skills and ability to work with cross-functional teams

DIVISION:
Corporate
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
99-00-821-0000

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