Senior Data Scientist

You will lead AI initiatives that directly impact millions of telecom subscribers and fintech customers — from predicting churn and personalising offers to detecting fraud in real time across payment networks.

ROLE MISSION

Lead delivery of production-grade AI solutions using Microsoft Azure AI, Fabric, and Azure ML.

SUCCESS IN FIRST 90 DAYS

• Lead 1–2 AI MVPs to delivery
• Define reusable feature engineering patterns
• Establish model lifecycle standards
  
  

Key Responsibilities

• Lead ML model design and deployment for telecom use cases including churn prediction, network anomaly detection, and customer lifetime value modelling
• Guide feature engineering on Fabric/Databricks using telecom CDR data, customer behaviour signals, and financial transaction records
• Build and deploy AI models for fintech use cases including fraud detection, credit risk scoring, and payment anomaly detection
• Mentor junior data scientists and set technical standards for model development
• Integrate with Azure ML and AI Foundry to establish repeatable, production-ready ML pipelines
  
  

Must-have Skills

• Python and ML frameworks (scikit-learn, TensorFlow, PyTorch)
• Azure ML
• Feature engineering at scale
• MLOps concepts and model lifecycle management
  
  

NICE-TO-HAVE

• Experience with telecom CDR or network data
• Background in fintech fraud detection or credit risk modelling
• Azure AI Foundry or AI Services experience
• Generative AI and LLM integration experience