[Finance Giant] Data Scientist

We are looking for an AI Engineer to build and deploy AI-powered services for large-scale financial and insurance applications.

What You’ll Do (Responsibilities)

• Design and develop AI-powered applications and services for financial and insurance use cases.
• Build APIs that integrate AI capabilities into existing business processes and applications.
• Use Python or R for AI application development, data processing, and analysis.
• Design and implement AI services across cloud and on-premise hybrid environments.
• Work with cloud platforms such as Azure or AWS to deploy scalable AI solutions.
• Collaborate with AI, data, cloud, security, and business stakeholders to bring AI applications into production.
• Support the broader adoption of AI across different enterprise workflows and business scenarios.

What You’ll Bring (Requirements)

• 3+ years of relevant professional experience.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong proficiency in Python or R.
• Hands-on ability to develop APIs for AI application scenarios.
• Strong data processing and analytical capabilities.
• Experience with Azure or AWS cloud platforms.
• Understanding of cloud architecture and the ability to design hybrid cloud / on-premise AI services.
• Ability to work effectively across technical and business functions.

Nice to have:

• AWS certification.
• Experience delivering enterprise AI applications.
• Experience integrating AI services into existing business workflows.

What Sets This Company Apart (About the Company)

You’ll join a dedicated AI R&D organization within a major financial services group, focused on applying AI across real business processes rather than limiting it to proof-of-concept experimentation.

The team brings together expertise across AI, data, cloud, cybersecurity, and financial technology, with AI applications already being introduced into areas such as compliance, intelligent customer service, personalized services, and fraud prevention.

For engineers who want to see AI move from development into enterprise-scale, production environments, this provides a particularly practical application landscape.

What’s Next (Call to Action)

If you’re interested in building AI systems that go beyond experimentation and become real, production-ready enterprise services, I’d be happy to share more.

📍 Taipei, Xinyi District
🎯 3+ years of experience
🐍 Python / R
☁️ Azure / AWS
🔌 AI API Development
🏗️ Hybrid Cloud Architecture

Reach out for a confidential discussion.