Barry-Wehmiller · 1 day ago
Data Science Intern
Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology. The Data Science Intern will support the Field Service and Accelerate teams by analyzing operational data and developing predictive models to improve service efficiency and customer satisfaction.
Machinery
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
Qualification
Required
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
Preferred
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