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