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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.

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. 

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.

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 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.