Digital and Analytics Internship
Schneider Electric
Tanggal: 6 hari yang lalu
Kota: Batam, Riau
Jenis kontrak: Penuh waktu
In Schneider Electric, everything we do is geared towards advancing progress and sustainability for all—our colleagues, customers, partners, and the communities and societies we serve.
Whether it's through our products, software, and services that propel the digital transformation of energy management and automation, or through our corporate citizenship and volunteer activities, we make a meaningful impact by empowering people and organizations to become more resilient, electric, and digital.
Which is where you come in. Working at Schneider Electric means working toward a cleaner, better world. You're part of a global team built on inclusion, mastery, purpose, action, curiosity, and teamwork, turning sustainability ambitions into actions.
The Role: Digital and Analytics Internship
What will you do?
Whether it's through our products, software, and services that propel the digital transformation of energy management and automation, or through our corporate citizenship and volunteer activities, we make a meaningful impact by empowering people and organizations to become more resilient, electric, and digital.
Which is where you come in. Working at Schneider Electric means working toward a cleaner, better world. You're part of a global team built on inclusion, mastery, purpose, action, curiosity, and teamwork, turning sustainability ambitions into actions.
The Role: Digital and Analytics Internship
What will you do?
- Build and maintain internal web applications and dashboards (front-end and/or back-end)
- Develop responsive, user-friendly interfaces using modern frameworks (PHP, ASP.NET Core & JS framework)
- Support Web API development and integration with databases and internal systems
- Assist with testing, debugging, and deployment of web applications
- Follow good practices in version control (Git) and code documentation
- For computer science background : assist in developing and testing AI/ML solutions such as predictive models, computer vision applications, or LLM-based tools
- For computer science background : experiment with and evaluate AI frameworks and APIs (e.g., OpenAI APIs, TensorFlow, YOLO, scikit-learn)
- For computer science background : help integrate AI capabilities into existing business applications and dashboards
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