Digital & Tech Rotational Trainee — Hybrid (12 Months)

West Pharmaceutical Services, Inc

Exton (PA)

On-site

USD 65,000 - 80,000

Part time

11 days ago
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Job summary

West Pharmaceutical Services, Inc. seeks a Digital & Technology Associate for a 12-month fixed-term rotational programme in Exton, PA. This hybrid role requires onsite presence at least 3 days per week and offers exposure to ERP, cybersecurity, analytics, cloud and manufacturing tech.

The program targets new graduates with a Bachelor's in CS/engineering/data science and 0–1 year of related experience, building technical and professional skills across domains with mentorship.

Qualifications

  • Bachelor's degree in Computer Science or related technical discipline.
  • 0–1 years of related work experience.
  • Foundational programming knowledge in Java, Python or C#.
  • Familiarity with SDLC and Agile methodologies.

Responsibilities

  • Participate in a structured rotational program across ERP, digital manufacturing, infrastructure, and analytics.
  • Develop an understanding of core business processes across manufacturing, supply chain, quality, finance and commercial functions.
  • Contribute to modern enterprise applications across web, mobile, and cloud platforms.
  • Assist in ERP configuration, reporting, integration support, and issue resolution.
  • Support data analytics initiatives including data extraction, transformation, visualization, and dashboard development.

Skills

Java
Python
C#
SDLC
Data modeling
AI concepts
ERP (SAP)
Cloud basics
Cybersecurity basics
Analytical thinking

Education

Bachelor's degree in Computer Science

Tools

SQL
Power BI
Tableau
SAP ERP

Job description

West Pharmaceutical Services, Inc. seeks a Digital & Technology Associate for a 12-month fixed-term rotational programme in Exton, PA. This hybrid role requires onsite presence at least 3 days per week and offers exposure to ERP, cybersecurity, analytics, cloud and manufacturing tech.

The program targets new graduates with a Bachelor's in CS/engineering/data science and 0–1 year of related experience, building technical and professional skills across domains with mentorship.

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