CAS 2027 Technology Summer Intern - Business Data Analytics Intern (AI/ML Focus)

CAS, the scientific information solutions division of the American Chemical Society, helps companies create groundbreaking innovations through scientific information, technology, and expertise. The Business Data Analytics Intern will support the design, development, and enhancement of analytics solutions, including data pipelines, dashboards, and reports, while applying SQL, Python, Tableau, and AI/ML concepts. The intern will also collaborate with product teams, refine development backlogs, and participate in technology and AI training.

What you'll do:

• Support the design, development, and enhancement of data analytics solutions — including dashboards, reports, and data pipelines — within an Agile Development team, delivering and enhancing data products across business data domains
• Develop and optimize SQL queries and Python scripts to extract, transform, and analyze data in Snowflake, and create visualizations and dashboards in Tableau
• Apply AI/ML concepts — such as predictive analytics, natural language querying, and GenAI-assisted analysis — to strengthen data insights and support business decision-making
• Partner with teammates and product owners to groom and refine backlogs of epics and stories for upcoming development work
• Build relationships across the organization through the Summer Intern Program, laying the groundwork for future career growth
• Stay current on emerging technology and AI trends through individual and team training opportunities

What they're looking for:

• Currently pursuing a degree in Data Analytics, Computer Science, Information Systems, Information Technology, Computer Engineering, or a related field
• Working knowledge of SQL and Python is required; familiarity with Java is a plus
• Strong communication, collaboration, and leadership skills
• Ability to thrive in an open, Agile development environment as well as work independently
• Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future
• Exposure to, or coursework involving, cloud data platforms (e.g., Snowflake, AWS, Azure) and BI/visualization tools (e.g., Tableau, Power BI) is preferred
• Foundational understanding of AI/ML concepts (e.g., machine learning basics, GenAI tools, prompt engineering) is a strong plus

Benefits:

• Exposure to a variety of state-of-the-art software technologies and practices
• Opportunities to expand their professional network with CAS staff and fellow interns
• Valuable insights into potential career opportunities
• Individual and team training opportunities on emerging technology and AI trends