OpenNash Jobs
Zurich Insurance Group · Kuala Lumpur, MY

Data Science & AI Internship

Kuala Lumpur, MYEarly careerData & Analytics

Listed on Zurich Insurance Group’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.

Apply on Zurich Insurance Group’s careers site →

Job description

Job Scope Execute AI Use Cases

Assist the team in developing and deploying artificial intelligence solutions based on business requirements.

Support R&D Initiatives

Contribute to research and development efforts for advanced features within larger AI systems.

Optimize Data & Systems

Assist with data processing, chatbot evaluation, AI model validation, and Robotic Process Automation (RPA) pipelines.

Manage Project Workloads

Support multiple concurrent tasks and workflows to meet departmental goals.

Strategic Transformation Projects Process Automation

Build robust RPA solutions to streamline agency operations.

Data Visualization

Design and deploy comprehensive monitoring dashboards.

Model Validation

Construct high-quality labeled datasets for rigorous AI model evaluation.

Deployment Pipelines

Contribute to the end-to-end development and production deployment of AI applications.

Learn & Gain Exposure to : Advanced Programming: Master enterprise-grade Python coding standards, code optimization, and machine learning libraries.

Cloud Architecture

Gain hands-on exposure to cloud infrastructure, deployment pipelines, and scalable AI environments.

Data Engineering & Querying

Develop proficiency in relational databases through structured SQL querying and advanced data manipulation.

Agile Project Delivery

Learn to navigate real-world AI use cases from initial scoping to final deployment using Agile methodologies.

Compensation & Career Growth Remuneration

Competitive monthly internship allowance.

Full-Time Conversion

High-performing interns demonstrating strong technical aptitude and cultural fit will be fast-tracked for full-time graduate roles, subject to business headcount requirements. This program serves as our primary talent pipeline for future leadership in data science and automation.

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