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Stages di Logistica in Bangalore, India

1 – 6 di 6
Azienda non indicata | Bangalore | Stage, Logistica, Inglese
“6-month in-person internship (Jan-Jul 2027) at (COMPANY NAME) for penultimate-year finance/accounting/economics students. Includes structured training, mentorship, networking, and rotations across departments like Fund Accounting, Risk, Compliance, and Treasury. Full-time office-based role with leadership development and career growth opportunities in a global financial services firm.”
Azienda non indicata | Bangalore | Stage, Logistica, Inglese
“(COMPANY NAME) offers an Executive Diploma Traineeship for 2026 graduates in EEE/ECE/Mechanical. On-site role supporting operations, training, and strategic projects. Requires strong willingness to learn and teamwork skills. No compensation details provided.”
Azienda non indicata | Bangalore | Stage, Logistica, Inglese
“Moody's offers a 2-month summer internship (June 2-August 8, 2025) for students in finance, accounting, or quantitative fields. Role involves supporting analytical teams, data analysis, financial document preparation, and contributing to research publications in a collaborative environment.”
Azienda non indicata | Bangalore | Stage, Logistica, Inglese
“6-month internship at (COMPANY NAME) India Private Limited in Digital Supply Chain Solutions. Role involves Python, Foundry, JavaScript, Spark, and SQL development for the Skywise analytics platform. Open to CS/Engineering students. Focus on data and software development skills.”
Azienda non indicata | Bangalore | Stage, Logistica, Inglese
“6-month internship at (COMPANY NAME) India (Bangalore) for ERP CoE Logistics & Planning. Develop/maintain SAP & non-SAP ERP apps, assist in configuration, coding (ABAP/Java/Python), and automation. Open to technical undergraduates with ERP/SCM basics and strong programming skills. Start in 2027.”
Azienda non indicata | Bangalore | Stage, Logistica, Inglese
“PhD internship at (COMPANY NAME)'s Manufacturing and Operations team focusing on ML research for domain adaptation of multimodal foundation models in manufacturing. Requires PhD in Computer Science, ML expertise, and Python skills. Involves collaboration on industrial problems and presentations to executives.”
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