ZipRecruiter

Log In

1

Math Intern Jobs in La Crosse, WI (NOW HIRING)

All JobsMath Intern JobsMath Intern Jobs in La Crosse, WI

Math Intern information

See La Crosse, WI salary details

$8

$16

$23

How much do math intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for math intern in La Crosse, WI is $16.73, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.89 per hour, depending on experience, location, and employer.

What is a math intern?

Math Interns are students or recent graduates who gain practical experience in mathematics by working under the supervision of professionals in fields such as research, finance, data analysis, or education. Their responsibilities often include assisting with data collection and analysis, conducting mathematical modeling, and supporting ongoing projects. This internship provides valuable hands-on experience, helps interns apply classroom knowledge to real-world scenarios, and can serve as a pathway to full-time positions in mathematics-related careers.

What do math interns do?

As a Math Intern, you can expect to work on a variety of projects, such as analyzing data sets, developing mathematical models, or assisting with research studies. Your daily tasks may include running statistical analyses, creating visualizations, and collaborating with other team members to solve real-world problems. Math Interns often work closely with experienced mathematicians, data scientists, or engineers, providing an excellent opportunity to learn industry-specific applications of mathematics and build practical skills. Additionally, you may be asked to present your findings to the team, helping you develop both technical and communication abilities.

What skills and qualifications are needed to thrive as a math intern?

To thrive as a Math Intern, you need a solid foundation in mathematics, problem-solving abilities, and often enrollment in or completion of a relevant degree program. Familiarity with statistical software, programming languages like Python or MATLAB, and tools such as Excel is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and interpret complex data. These skills are crucial for contributing to projects, gaining practical experience, and supporting organizational goals through quantitative analysis.

What is the difference between Math Intern vs Data Analyst?

AspectMath InternData Analyst
Required CredentialsTypically pursuing or holding a degree in mathematics, statistics, or related fieldBachelor's degree in statistics, mathematics, computer science, or related field
Work EnvironmentInternship setting, often in educational or research institutions, or corporate R&D departmentsOffice environment, working with data sets, reports, and analytics tools
Employer & Industry UsageUniversities, research labs, tech companies, finance firmsBusiness, finance, marketing, healthcare, technology

Math Interns typically focus on learning and supporting mathematical research or projects, often as students gaining experience. Data Analysts analyze data to generate insights, reports, and support decision-making. While both roles involve quantitative skills, Data Analysts usually work with real-world data and analytics tools, whereas Math Interns may focus more on theoretical or research-based tasks.

What are the most commonly searched types of Math jobs in La Crosse, WI?

The most popular types of Math jobs in La Crosse, WI are:

What cities near La Crosse, WI are hiring for Math Intern jobs?

Cities near La Crosse, WI with the most Math Intern job openings:

Math Intern jobs near you

Intern, Energy Data Science

La Crosse, WI • On-site

Dairyland Power Cooperative
Utilities • 201 - 500 employees
Learn more about Dairyland Power Cooperativeexternal

$30/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Hourley Wage: $30.00

PURPOSE: The Energy Data Science Intern will support strategic decision making by increasing data accessibility, performing statistical analysis, building predictive models, and providing actionable insights. This position advances all DPC's strategic priorities, but most notably our commitment to financial strength, growth & innovation, and our safety culture.

ESSENTIAL JOB FUNCTIONS:

Build, test and document data pipelines that ingest, transform and deliver data for analysis and reporting. Assist with integrating APIs, databases, enterprise applications and external data sources into Dairyland Power Cooperative's cloud-based Lakehouse environment. Clean, validate and organize energy and business data to improve reliability and accessibility. Perform statistical analysis to identify trends, quantify uncertainty and support business decisions. Develop and evaluate machine learning models for defined business applications. Support model deployment, validation, performance monitoring and ongoing improvement. Translate business questions into quantitative analyses. Present findings, assumptions and recommendations clearly to technical and nontechnical audiences. Create technical documentation for data sources, pipelines, models and analytical methods. Perform other duties as assigned.

MINIMUM QUALIFICATIONS:

Education & Experience: Currently pursuing either an undergraduate or graduate degree in data science, statistics, mathematics, artificial intelligence, computer science, or another related field.

Skills:

  • Experience using at least one scientific computing language, preferably Python

  • Foundational knowledge of data structures, statistical analysis and relational databases

  • Strong analytical, problem-solving and organizational skills

  • Strong verbal, written and interpersonal communication skills

  • Ability to work independently.

PREFERRED QUALIFICATIONS:

  • Experience with SQL and data modeling

  • Experience building data pipelines or integrating APIs

  • Familiarity with Microsoft Fabric, AWS or another cloud data platform

  • Familiarity with machine learning model development, validation, and deployment

  • Experience with Power BI or another data visualization tool

  • Experience using Git or another version control system

Licenses and Certifications:Valid Driver's License

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Environmental Demands: Normal work schedule is indoors.

Other Job Characteristics: Travel required, occasionally overnight. Works with limited supervision in a variably paced, variable pressure setting. Handles multiple priorities.

Apply