Data Science & AI Internship

Zurich Insurance

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.

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.

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.

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.