Carlisle Construction Materials (CCM) is seeking a highly motivated and analytical Data Scientist Intern to join our Customer Experience & Sales Operations team in Carlisle, PA. This internship offers a unique opportunity to work on high-impact, data-driven initiatives that directly influence customer outcomes, sales performance, and operational efficiency.

The selected candidate will gain hands-on experience applying advanced analytics, automation, and emerging AI tools to real-world business challenges in a dynamic B2B environment. This role is ideal for individuals passionate about transforming data into actionable insights and driving continuous improvement across business functions.

Responsibilities:

• Audit, cleanse, and enhance the quality, structure, and usability of customer, sales, and service datasets across multiple platforms
• Partner with cross-functional teams including Sales, Customer Service, Customer Experience, and Supply Chain to gather, define, and refine data requirements
• Apply AI-assisted techniques to identify data inconsistencies, enrich datasets, and improve data preparation efficiency
• Develop and maintain scripts or lightweight code (e.g., Python, SQL) to automate data extraction, transformation, and validation processes
• Design and implement web scraping or digital data collection processes to capture competitive intelligence and market insights from public sources
• Convert unstructured and semi-structured data (e.g., emails, PDFs, web content) into structured, analysis-ready datasets
• Build and maintain dashboards and reports using tools such as Power BI, Excel, and SQL to support business decision-making
• Document data workflows, analytical methodologies, and dashboard logic to ensure scalability and knowledge sharing
• Educate and support business stakeholders on data standards, tools, and best practices
• Identify opportunities for continuous improvement in data architecture, processes, and information flow

Example Projects:

• Sales and Demand Visibility by Region or Customer
• Shipment Visibility and Logistics Performance
• Perfect Order Rate Analysis
• Automated Customer Scorecards
• Returns and Credits Analytics
• Competitive Intelligence Data Collection and Analysis

Qualifications:

• Currently pursuing a Bachelor’s degree in Data Analytics, Business Analytics, Industrial Engineering, or a related field.
• Demonstrated analytical and problem-solving capabilities with a strong data-driven mindset.
• Proficiency in Microsoft Office Suite (especially Excel), Power BI, and SharePoint; familiarity with Tableau, Python, SQL, or similar tools is preferred.
• Interest in leveraging AI tools and automation techniques to solve business data challenges.
• Strong written and verbal communication skills, with the ability to present insights clearly to non-technical stakeholders.
• Ability to work independently while effectively collaborating with cross-functional teams.