Decision Science Intern

Post Holdings Inc.Brentwood, MO
2dHybrid

About The Position

Feeding the world is what we do – how we do it is unique. We are not your textbook consumer packaged goods company. While others may be slow to make change happen, Post continuously drives both inorganic and organic growth. Our history is evidence of that fact with over 100 years of heritage and growth from brands that transcend generations like Honey Bunches of Oats, Fruity Pebbles, Malt-O-Meal, Bob Evans, Kibbles 'n Bits, Egg Beaters, Peter Pan peanut butter and more. Our foodservice and ingredient businesses supply other products you love for brands, restaurants and stores. We have more than 55 offices and manufacturing sites and approximately 13,000 employees. Over the past 13 years, Post has made 28+ acquisitions and innovative financial transactions and reached $8.2 billion in net sales in fiscal 2025. During turbulent times of market uncertainty, the food industry has provided a level of stability unlike other industries Post Holdings, Inc. is a Fortune 500® company headquartered in Brentwood, a suburb of St. Louis, Missouri. Our casual professional atmosphere encourages team members to collaborate, innovate and support our operating companies. Our passion and drive advance the reputation of our operating companies and brands—together, we make a difference. Our internship program is designed to provide college students the opportunity to learn about Post Holdings and gain meaningful, hands-on entry-level work experience in a professional environment. Our goal is to build a roadmap that leads you to a long, rewarding and challenging career with Post. As a part of our internship curriculum we provide the opportunity for each intern to interact with various branches of the company. We work with you to determine your desired career path, and the correct steps to get you to your goals. At the end of the program, each intern will give a brief presentation to their mentors summarizing their accomplishments and key takeaways achieved while working at Post Holdings. The Decision Science team helps our operating companies solve their most challenging problems and drives decisions with data. As a member, you will be at the center of data and analytics innovation and adoption. In the role of Decision Science Intern, you will help drive value by developing insights and learning the data & analytics landscape in the areas of Manufacturing, Supply Chain, and Consumer Analytics. You will be collaborating with our team to find thoughtful solutions that embed and promote advanced analytics, machine learning, Generative AI, and foster self-service analytics. You will have access to the latest technology, tools, and knowledge to ensure your success. As a Decision Science Intern, you will support insight and applied analytics projects by helping translate business questions into analysis, building clear and compelling data stories, and contributing to sustainable analytics solutions. You’ll collaborate with Decision Science team members to deliver high-quality work products that enable better decisions and greater self-service across the organization. INTERNSHIP ADVANTAGES Hands-on entry-level experience Exposure to many departments at the corporate level Career coaching from corporate professionals Collaborative internship activities both on-site and off-site

Requirements

  • Must be actively pursuing a 4-year degree at an accredited university.
  • Pursuit of an undergraduate or graduate degree in IT, Data Analytics, Economics, Mathematics, Statistics, Computer Science, Information Systems or a similar field of study.
  • Excellent oral and written communication skills.

Nice To Haves

  • Coursework, projects, or experience demonstrating a solid grasp of data and analytics concepts (data storytelling, data engineering fundamentals, statistics, or machine learning).
  • Proficiency or prior exposure to SQL; familiarity with Python or another coding language is a plus.
  • Exposure to visualization tools (e.g., Tableau) and/or ELT/ETL concepts.
  • Strong curiosity and eagerness to learn; willingness to go the extra mile.
  • Proactive, self-motivated, and comfortable working in ambiguity with changing priorities.
  • Demonstrated ownership mindset and a positive, collaborative attitude.

Responsibilities

  • Support Decision Science / Applied Analytics projects by contributing high-quality analysis, dashboards, reports, and/or ML/GenAI-enabled solutions aligned to business goals.
  • Translate business questions into clear insights and “data stories” using visualization tools, PowerPoint, and strong written/verbal communication.
  • Learn and apply the Decision Science tool stack through hands-on development (enhancements, fixes, and project deliverables), including documentation to improve self-service.
  • Assist with data sourcing, curation, and troubleshooting (e.g., streamlining inputs, improving definitions, and identifying where data assets may be breaking).
  • Contribute to continuous improvement by identifying opportunities to improve data quality, analytics delivery, and process efficiency; share learnings with the team.
  • Communicate progress, risks, and updates to support on-time delivery of high-quality data products that support targeted business outcomes.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service