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Internship Python Data Science Jobs in Minnesota

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

Varsity Tutors

Data Science Tutor

Minneapolis, MN · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Internship Python Data Science information

What is an internship Python data science?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.

What types of projects can I expect to work on during a Python data science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What are the key skills and qualifications needed to thrive as an internship Python data science?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What are popular job titles related to Internship Python Data Science jobs in Minnesota?

For Internship Python Data Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Internship Python Data Science jobs in Minnesota look for?

The top searched job categories for Internship Python Data Science jobs in Minnesota are:

Internship Python Data Science jobs near you

Data Science Intern - Summer 2027

Lakeville, MN • On-site

Post Consumer Brands
Manufacturing • 1 - 5K employees
Learn more about Post Consumer Brandsexternal

Temporary, Internship

Posted 12 days ago

Key responsibilities

  • Develop and enhance machine learning and statistical models.

  • Analyze enterprise data to identify trends, opportunities, and insights.

  • Create dashboards, visualizations, and analytical tools for business stakeholders.

Post Consumer Brands rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Business Unit Overview
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.
Location Description
Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.
Responsibilities
Launch Your Data Science Career at Post Consumer Brands
Interested in machine learning, analytics, artificial intelligence, or data-driven problem solving? Join Post Consumer Brands as a Data Science Intern for a 12-week summer experience designed to provide meaningful work, professional development, and hands-on exposure to enterprise data science and analytics solutions.
As a Data Science Intern, you'll work alongside experienced data professionals to uncover insights, solve business challenges, and develop analytics solutions that drive decision-making across the organization. You'll gain experience with technologies including Python, Snowflake, Snowpark ML, Snowflake Cortex, dbt, SQL, and data visualization tools while contributing to projects that create real business value.
What You'll Do
Depending on business needs and your interests, you may have opportunities to:
  • Develop and enhance machine learning and statistical models.
  • Analyze enterprise data to identify trends, opportunities, and insights.
  • Create dashboards, visualizations, and analytical tools for business stakeholders.
  • Partner with cross-functional teams to solve complex business challenges.
  • Support the development of scalable analytics and data science solutions.

Potential Project Opportunities
  • Build, test, and optimize machine learning models.
  • Engineer new features and data sets to improve model performance.
  • Evaluate internal and external data sources for new analytics opportunities.
  • Conduct analyses to address key business questions and strategic initiatives.
  • Develop dashboards and visualizations that communicate actionable insights.
  • Use Python, SQL, and modern analytics tools to generate recommendations.

Specific assignments will be determined prior to the internship based on business needs and intern interests.
Why Intern at Post?
  • Work on projects that have a real impact on business decisions.
  • Participate in professional development, networking, and social events.
  • Build relationships with leaders, mentors, and fellow interns.
  • Gain hands-on experience with machine learning, analytics, and cloud-based data platforms.
  • Present your work and recommendations to key stakeholders.
  • Develop skills that can help launch a future career with Post Consumer Brands.

Qualifications
What We're Looking For
  • Pursuing a bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or a related field, with an expected graduation date between December 2027 and August 2028.
  • Strong analytical, problem-solving, and communication skills, with a natural curiosity to understand the "why" behind business challenges.
  • Experience with Python, R, SQL, or similar analytical tools, along with familiarity with Power BI, Tableau, Excel, or other data visualization platforms.
  • Understanding of statistical modeling, machine learning, or predictive analytics concepts.
  • Ability to work independently and collaborate effectively within a team environment.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Preferred
  • Previous internship, work, leadership, research, or project experience.
  • Experience with platforms such as Snowflake, Databricks, Hadoop, or similar technologies.
  • Interest in the consumer packaged goods or manufacturing industry and a desire to explore career opportunities with Post Consumer Brands after graduation.

Internship Perks
  • Competitive pay and starting bonus
  • Professional development, networking, and social events
  • Exposure to leaders across the organization
  • Free cereal, oatmeal, coffee, milk, and snacks

Past interns have developed machine learning models, uncovered actionable business insights, and applied advanced analytics to solve real-world business challenges.
Compensation for this role is $25.00 per hour.
This role will be posted until October 4, 2026.

What Post Consumer Brands employees say

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