Job Overview

The role is responsible for designing and deploying data-driven solutions that support key business objectives, optimize operational efficiency, and unlock new strategic opportunities. This position requires strong technical proficiency, leadership capability, and the ability to transform complex data challenges into scalable products and actionable insights.

Technical Skill

Machine Learning Algorithms -Expert

Deep Learning Frameworks (TensorFlow, PyTorch) -Advanced

Programming (Python, R) - Expert

Data Wrangling & Feature Engineering - Expert

Model Deployment & MLOps - Advanced

Cloud Platforms (Azure, AWS) - Advanced

Business Acumen - Advanced

Financial Responsibilities

Contributes to cost optimization, operational savings, and revenue growth through data science initiatives.

Supports budgeting, resource allocation, and capacity planning within the data science function.

Selection Criteria

Essential

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 7–10 years of experience in Data Science and AI model development.
• Proven ability to lead and deliver end-to-end advanced analytics projects.
• Strong programming expertise in Python and/or R, with hands-on experience building scalable models.
• Self-motivated, innovative, and passionate about AI-driven transformation.

Desirable

• PhD in a quantitative field.
• Experience with real-time analytics, streaming data, and/or edge AI deployment.
• Professional certifications in AI/ML technologies or cloud platforms (Azure/AWS/GCP).