Intern - Manufacturing Engineer

Job description

We are seeking a motivated and enthusiastic Engineering Intern to join our Polish Engineering team. This internship offers a unique opportunity to gain hands-on experience in data analytics, data science, industrial automation processes, and contribute to cutting-edge projects.

ESSENTIAL DUTIES

AND RESPONSIBILITIES:

• Assist in developing and implementing automation solutions for manufacturing processes
• Collaborate on the programming and testing of automated systems
• Support data collection and analysis for process improvement initiatives
• Participate in the troubleshooting process issues
• Contribute to the documentation of automated processes and procedures
• Support the team in research on emerging automation or data science technologies This position is part of our Early Career program at WD.

Our Early Career program is designed to support individuals beginning their professional career by providing foundational training through a structured onboarding, mentorship, and development curriculum.

Qualifications

REQUIRED

Currently pursuing a Bachelor's degree in Data Science, AI, Statistics, Business Analytics, Computer Science, Software Eng, Information Systems Strong interest in industrial automation and control systems Basic understanding of programming languages (e.g., Python, SQL, Power BI/Tableau, basic ML (trend, anomaly), APIs, dashboards, low-code automation tools PREFERRED: Familiarity with data analysis tools and techniques Understanding of basic electrical and mechanical principles Experience with robotics or motion control systems

SKILLS

Python, SQL, Power BI/Tableau, basic ML (trend, anomaly), APIs, dashboards, low-code automation tools

• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork abilities Eagerness to learn and apply new technologies LEARNING OPPORTUNITIES Gain practical experience in industrial automation
• Develop skills in programming and system integration
• Learn about Industry 4.0 concepts and applications
• Understand manufacturing processes and optimization techniques Enhance problem-solving and analytical skills
• Improve technical documentation and communication abilities