Data Scientist

🚀 We’re Hiring : Machine Learning Engineer / Data Scientist (Full-Time, Onsite)

Build AI-powered credit decisioning systems on Microsoft Azure

About the Role

We’re looking for a Machine Learning Engineer / Data Engineer with 3-6 years of experience to join our AI-driven credit lending platform team.

In this role, you’ll design and deploy scalable ML solutions that power loan origination, credit decisioning, and portfolio management systems.

You’ll work on end-to-end data pipelines, model development, and integrations with leading banking and fintech systems hosted on Microsoft Azure .

This is a full-time onsite position , offering hands-on collaboration with our data science, engineering, and product teams to shape next-generation credit intelligence solutions.

🎯 Key Responsibilities

• Design, develop, and deploy credit scoring and risk assessment models (classification, regression, alternative data).
• Build scalable ETL / ELT pipelines on Microsoft Azure for financial and telco datasets.
• Implement model monitoring, retraining frameworks, and governance workflows .
• Develop APIs and microservices for integration with LOS, LMS, and external systems.
• Collaborate with data analysts and product owners to translate business rules into ML / AI-driven logic .
• Ensure compliance with Basel III, GDPR, PDPA , and integrate model explainability (XAI) .
• Optimize workflows for scalability, performance, and cost efficiency on Azure Cloud.

✅ Required Skills & Experience

⭐ Preferred Qualifications

🌍 Work Location & Flexibility

📅 Employment Type : Full-Time