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Decision Science Intern

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 analytical innovation and adoption. In the role of Decision Science Intern, you will help drive value developing insights and providing a deep understanding 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, and foster self-service analytics. You will have access to the latest technology, tools, and knowledge to ensure your success. 

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 

This role is hybrid.  Work from home on Mondays and Fridays and in the office on Tuesdays, Wednesdays, and Thursdays. 

QUALIFICATIONS:

  • 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 or a similar field of study  
  • Must be experienced in using Microsoft Office programs, such as Word, Excel and PowerPoint 
  • Must display a professional appearance and attitude 
  • Excellent oral and written communications skills