Data Science Intern

Barry-Wehmiller • Green Bay, WI

2d

About The Position

The Data Science Intern will support the Field Service and Accelerate teams by analyzing operational data, developing predictive models, creating data visualizations, and generating actionable insights to improve service efficiency, customer satisfaction, and quality metrics. This role provides hands-on experience in applying data science techniques to real-world business challenges in a manufacturing and service environment.

Requirements

• Currently pursuing a bachelor’s degree in data science, Statistics, Computer Science or related field.
• Completion of coursework in statistics, machine learning, data analysis, or related subjects is required.
• Proficiency in programming languages such as Python or R for data analysis and modeling.
• Experience with data visualization tools such as Tableau, Power BI or similar platforms.
• Strong understanding of statistical analysis methods and machine learning techniques
• Working knowledge of SQL for database querying and data extraction
• Familiarity with data manipulation libraries (e.g. pandas, NumPy).
• Strong written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
• Proficient in Microsoft Office, particularly Excel for data analysis
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt to new tools, technologies, and business domains.

Nice To Haves

• Previous internship or project experience in data analysis or data science is preferred but not required.
• Familiarity with manufacturing, service operations, or customer service environments is a plus.

Responsibilities

• Analyze machine telemetry and IoT sensor data to monitor equipment performance, identify anomalies and predict maintenance needs.
• Analyze field service and customer service data to Identify trends, patterns, and opportunities for improvement.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) including response times, resolution rates, warranty claims and customer satisfaction metrics.
• Support root cause analysis efforts by applying statistical methods to quality incident data, machine data and field service reports.
• Collaborate with field service teams to analyze warranty data and identify recurring issues or product defects.
• Mine customer interaction data to uncover insights that drive customer experience improvements.
• Assist in developing data-driven recommendations for process optimization and resource allocation.
• Participate in cross-functional team meetings to present insights and recommendations.
• Perform other duties as assigned.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees