Data Science & AI Internship

Zurich Insurance; Kuala Lumpur; On-site; MYR 13,000 - 20,000; Full time

Job summary

Zurich 56 Company Ltd is offering an internship in Kuala Lumpur to support the AI team. You will assist in developing and deploying AI use cases, contribute to R&D for features in a larger AI system, and help with data processing, chatbot and model evaluation, and building RPA pipelines.

You'll gain exposure to Python coding and cloud infrastructure while supporting multiple tasks. The program emphasizes learning and potential conversion to full-time opportunities after graduation, subject to

Qualifications

• Pursuing degree or diploma in a relevant field preferred.
• Strong problem-solving and learning aptitude.

Responsibilities

• Assist the team to develop and deploy AI use cases from business users.
• Support R&D of features that are part of a larger AI system.
• Assist with data processing, chatbot evaluation, AI model evaluation, and building RPA pipelines.
• Support multiple concurrent tasks and use cases as required by the team.

Skills

Python coding

Cloud infrastructure

Job description

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• Assist the team to develop and deploy AI use cases from business users.
• Support the team in research and development (R&D) of features that are part of a larger AI system.
• Assist with data processing, chatbot evaluation, AI model evaluation, and building RPA pipelines.
• Support multiple concurrent tasks and use cases as required by the team.

Contribute to company transformation initiatives through projects such as

• Building RPA solutions for agency teams.
• Helping build labelled datasets for model evaluation.
• Supporting the development and deployment of AI use cases

Learning & Development Plan

Support the team in completing use cases.

Learn and gain exposure to

• Python coding
• Cloud infrastructure

Compensation

Competitive monthly internship allowance.

Career Growth

Interns who demonstrate strong performance and potential throughout the internship may be considered for full-time opportunities upon graduation, subject to business needs and available headcount. This enables the team to build a pipeline of talented individuals who can contribute to ongoing and future AI, data science, and automation initiatives.