About the Role

Join our Digital & AI Transformation initiatives under Edwards Japan Quality team (Waku Waku DX Japan) working on real-world, Digital tools, and AI systems. This internship is designed not only as a learning experience but also as an opportunity to actively contribute to real business impact with a hands-on engineering role.

As a Digital & AI Transformation Intern, you will work closely with cross-functional teams to support and accelerate initiatives in digital transformation, AI/GenAI adoption, data analytics, and process automation. You will play a hands-on role in identifying opportunities, testing innovative solutions, and delivering practical outcomes.

This is a unique opportunity for individuals passionate about innovation, technology, and business transformation to gain real-world experience in a global corporate environment.

What You’ll Work On

• Build and support AI-enabled applications and platforms
• Support Digital Transformation and AI initiatives across Japan organization
• Assist in development and implementation of AI / GenAI use cases
• Perform data analysis, visualization, and insight generation
• Identify opportunities for process improvement and automation
• Collaborate with stakeholders across multiple functions
• Contribute to digital tool adoption (e.g., Copilot, automation tools, analytics platforms)
• Participate in pilot projects and proof-of-concept activities
• Document learnings, best practices, and outcomes

Who Should Apply

• Currently enrolled in a Bachelor’s or Master’s in CS, Engineering, Data Science, or related field
• Strong foundation in software engineering and object-oriented programming
• Curious, motivated, and passionate about AI and technology
• Strong problem-solving and troubleshooting mindset

Nice to Have

• Comfortable coding in Python
• Coursework or projects in AI/ML or data engineering
• Exposure to cloud platforms (especially AWS)

What You’ll Gain

• Real-world experience building production scale AI systems
• Exposure to modern AI platforms and cloud infrastructure

Qualifications

• Must be currently enrolled as a student at a 4-year university (graduating December 2026 or later).
• Must be pursuing a Bachelors, Master’s or PhD in a related field.