Mid-Level Data Scientist

You will build and validate models that power real business outcomes for a telecom and fintech company — from subscriber retention and network quality prediction to credit scoring and payment fraud detection.

ROLE MISSION

Build, validate, and support machine learning models that underpin AI MVPs.

Key Responsibilities

• Develop and validate ML models for telecom and fintech use cases including customer segmentation, churn prediction, and transaction anomaly detection
• Support experimentation, A/B testing, and model validation across the AI MVP pipeline
• Engineer features from telecom datasets (CDR, network logs) and fintech data (transaction records, customer profiles)
• Collaborate with data engineers, BI engineers, and automation teams to integrate model outputs into production workflows
  
  

Must-have Skills

• Python
• ML fundamentals (classification, regression, clustering, validation techniques)
• Experience with Azure or cloud ML platforms
  
  

NICE-TO-HAVE

• Experience with telecom or financial services data
• Familiarity with Azure ML or Databricks
• Knowledge of model monitoring and drift detection