Data Science Intern - Summer 2026

Brand : Post Consumer Brands

Categories : Intern

Locations : Lakeville, Minnesota

Position Type : Intern

Remote Eligible : No

Req ID : 28391

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 Nutrish®, Kibbles 'n Bits® and 9Lives® dog and cat food. 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 and Facebook for the latest news.

Brand

Post Consumer Brands offers a robust summer immersive & transformative internship experience that will present you with a meaningful business problem to ideate and collaborate cross-functionally that will lead to you presenting recommended solutions to improve the business. Post Consumer Brands is unique as our core values & mission is at the forefront of our efforts. Consider joining our team to launch the success story of your career journey.

Location Description

Post Consumer Brands corporate headquarters in Lakeville, Minn. 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

Looking to pursue a career in Data Science ? Do you want to gain hands-on experience in a growing, mission-driven, consumer-centric organization? Post Consumer Brands is looking for a Data Science Intern for a 12-week summer 2026 immersive & transformative internship experience. Post Consumer Brands is unique as our core values & mission is at the forefront of our efforts. Consider joining our team to launch the success story of your career journey and help us deliver our purpose of : To make lives better by making delicious food accessible for all.

JOB FUNCTION

The Data & Analytics department at Post Consumer Brands' is growing! Our team's mission is to empower all stakeholders to maximize business value by ensuring that trusted data and analytics are available at the right time. Working alongside the Data Engineering and Reporting teams, the Data Science team will leverage technical expertise, business acumen and curiosity to deliver high quality data science solutions to key business stakeholders. Your work will be enabled by a modern technology stack including Python, Snowflake (Snowpark ML, Snowflake Cortex) and dbt.

As an intern, you will provide data science support to the broader organization, gaining the opportunity to extract meaningful patterns from enterprise data assets. You will help to develop new ML models, engineer robust ML pipelines and explore new data sources across the organization. Interns in the past have been given the opportunity to share their findings with leadership and have had the opportunity to meet key stakeholders here at PCB.

Responsibilities

The Data Science Intern will assist in a number of projects. Assignments may include work such as :

ML Model Development and Enhancement - This includes identifying optimal model methodology, evaluation criteria and hyperparameter tuning.

Feature Engineering - Create meaningful features with data assets to improve production ML models.

Data Source Exploration - Explore disparate data sources to assess their value and usability in analytics solutions.

Ad Hoc analysis - Dive into solving business problems partnering with stakeholders in the organization.

Data Visualization - Create insightful dashboards and charts to aid in storytelling with business partners.

Use Python, R and SQL to analyze and extract insights that will enhance decision making capabilities.

Specific project and operational roles will be identified 30-60 days prior to the start of the internship, based on business need and intern interests.

Qualifications

Candidates must be pursuing a four-year undergraduate or graduate degree or at an institution with an accredited program in Mathematics, Statistics, Data Science or related field with a graduation date in December 2026 or May 2027

Curiosity to ask the "why" behind things, and creative problem solving to figure it out

Experience in Python (Pandas, scikit-learn, Pyspark, plotly) , R (tidyverse, ggplot) and SQL

Proficiency in reporting tools such as Excel, Power BI or Tableau

Demonstrated understanding of Statistical Modeling or Machine Learning concepts and the ability to develop predictive models

Ability to work independently and in teams and bring joy while doing so

Strong written and oral communication skills

Ability to handle confidential information and use discretion within and outside of the organization

We are unable to proceed with candidates who require visa sponsorship now or in the future

Preferred Qualifications

Previous internship or work experience

Demonstrated interest in or prior experience with modern data platforms such as Snowflake, Databricks or Hadoop

Interest in the consumer packaged goods / manufacturing industry with the desire to start a career with Post Consumer Brands after graduation

Additional Program Information & Perks

Offering competitive compensation

Access to a dynamic internship event program including development, networking, & social activities

Eligible for subsidized housing & $2,500 relocation stipend

Cereal galore - enjoy a variety of cereal and oatmeal options in our break room, for free. Free milk, coffee, and conversation included as well.

This role is paid USD $22.00 per hour.

Please note that this position will be posted until September 30th.

Post Holdings provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran and any other category protected under applicable federal, state, provincial and local laws.

Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)