The AI-Based Customer Segmentation Intern will support a data-driven initiative focused on improving account prioritization and Sales and Marketing alignment through customer segmentation. This internship offers hands-on experience applying analytics and machine learning concepts—specifically clustering techniques such as K-means—to real Salesforce CRM data. The role is designed as a practical, low-risk entry point into responsible AI adoption, account-based marketing (ABM), and CRM strategy, while delivering meaningful insights that inform commercial decision-making.

This opportunity is well suited for a student interested in how data can be translated into clear business actions, who is eager to build strong analytical foundations while collaborating with non-technical stakeholders.

• Analyze Salesforce Account, Contact, and Opportunity data to identify meaningful customer and account segments
• Develop engagement cohorts using clustering and segmentation techniques and translate results into clear business categories (e.g., high priority, nurture, reactivation)
• Interpret analytical outputs in plain language and connect findings to recommended Sales and Marketing actions
• Collaborate with Sales and Marketing stakeholders to review results, gather feedback, and validate business usefulness
• Identify and document data quality and integrity gaps that limit segmentation accuracy
• Produce leadership-ready deliverables, including summary presentations and written documentation
• Contribute to a repeatable, well-documented segmentation framework that can evolve as data quality improves
• Support responsible AI adoption by emphasizing transparency, governance, and human judgment in analytical recommendations

Required / Preferred Academic Background & Technical Skills

• Currently pursuing a degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field
• Strong analytical skills with the ability to interpret CRM and sales funnel data
• Proficiency with Excel and/or Google Sheets for data cleanup, rollups, and quality checks
• Experience with data analysis tools such as Python or MATLAB; SQL experience is a plus
• Familiarity with basic segmentation and clustering concepts through coursework or academic projects
• Ability to critically evaluate analytical outputs and recognize limitations driven by data quality

Soft Skills & Professional Attributes

• Strong written and verbal communication skills, with the ability to summarize findings for non-technical audiences
• Comfortable collaborating across teams and incorporating feedback from Sales and Marketing partners
• Structured, detail-oriented thinker with strong documentation habits
• Sound judgment and discretion when working with customer and sales data
• Proactive, curious, and resilient when navigating ambiguity and imperfect datasets

Our mission is to inspire advances in bioprocessing as a trusted partner in the production of biologic drugs that improve human health worldwide. Focused on cost and process efficiencies, we deliver innovative technologies and solutions that help set new standards in bioprocessing. The estimated hourly rate/salary range for this role, based in the United States of America is $24/Hr. -$26/Hr. Compensation decisions are dependent on several factors including, but not limited to an individual's qualifications, location, internal equity, and alignment with market data. All compensation and benefits information will be confirmed in writing at the time of offer.