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Data Science Intern Jobs in Eagan, MN (NOW HIRING)

PamTen Inc

Data Scientist

Wayzata, MN · On-site

Duration: 6+ Months Required Qualifications · Bachelor's degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative ...

New

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

This role also plays an important part in moving data science solutions from experimentation into production. You?ll collaborate with engineering, architecture, and business teams to build reliable ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

New

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

Polaris, Inc.

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

Gather feedback from business users to continuously improve data science products. Desired Competencies: * Critical Thinking: You analyze information objectively, evaluate options, and apply sound ...

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Showing results 21-40

All JobsData Science Intern JobsData Science Intern Jobs in Eagan, MN

Data Science Intern information

See Eagan, MN salary details

$12

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How much do data science intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data science intern in Eagan, MN is $22.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $25.00 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Eagan, MN?

The most popular types of Data Science jobs in Eagan, MN are:

What job categories do people searching Data Science Intern jobs in Eagan, MN look for?

The top searched job categories for Data Science Intern jobs in Eagan, MN are:

What cities near Eagan, MN are hiring for Data Science Intern jobs?

Cities near Eagan, MN with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Eagan, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $47,733 per year, or $22.9 per hour.

Data Scientist

PamTen Inc

Wayzata, MN • On-site

Other

Posted 3 days ago

New

Job description

Role: Data Scientist (5 Roles)

Work Location: This position is an Office role, requiring onsite work at our Minnetonka, MN office an average of 3 days per week.

Duration: 6+ Months

Required Qualifications

·         Bachelor’s degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.

·         5+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline.

·         Experience developing machine learning or statistical solutions for complex, real-world business problems.

·         Experience with techniques applicable to anomaly detection, pattern recognition, classification, clustering, time-series analysis, or predictive modeling.

·         Proficiency in at least one programming language commonly used for data science and machine learning, such as Python, R, or SAS.

·         Strong SQL skills and experience working with large relational or analytical data platforms.

·         Experience using source control and collaborative software development practices.

·         Experience developing reusable, maintainable analytical code rather than exclusively notebook-based or ad hoc analyses.

·         Ability to communicate technical concepts, analytical findings, system behavior, and model limitations to both technical and non-technical stakeholders.

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