Data Science Intern - Summer 2027

About the Role

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.

Responsibilities

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

• 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.

Pay

Compensation for this role is $25.00 per hour.

Schedule

This role will be posted until October 4, 2026.