Data Science Intern

About Us:

Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world.

Job Description:

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.

ESSENTIAL FUNCTIONS:

• 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. 

EDUCATION & EXPERIENCE: 

• 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.
• 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.

KNOWLEDGE, SKILLS, ABILITIES: 

• 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.

COMPETENCIES: 

• Customer Focus – Building strong customer relationships and delivering customer-centric solutions. 

• Instills Trust – Gaining the confidence and trust of others through honesty, integrity, and authenticity. 

• Drives Results - Consistently achieving results, even under tough circumstances. 

• Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. 

• Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. 

• Action Oriented – Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. 

• Collaborates – Building partnerships and collaborating with others to meet shared objectives. 

• Decision Quality – Making good and timely decisions that keep the organization moving forward. 

• Manages Ambiguity – Operating effectively, even when things are not certain, or the way forward is not clear. 

LEADERSHIP RESPONSIBILITY: 

​​This position does not directly supervise other associates.​ 

WORK ENVIRONMENT/PHYSICAL DEMANDS:

• Typically sits, grasps items and performs keyboarding for frequent operation of a computer 

• Stand, walk, bend, reach or otherwise move about occasionally 

• Lift, move or otherwise transfer items up to 30 lbs. occasionally 

• Occasional exposure to typical machine shop physical hazards 

At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job.  If your experience is close to what you see listed here, please still consider applying.  We know that our differences often can bring about innovation, excellence and meaningful work—therefore, people from all backgrounds are encouraged to apply to our positions.  Please let us know if you require reasonable accommodations during the interview process. ​

Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify.

Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments.

 

Company:

Paper Converting Machine Company