Lead Data Scientist - Big Data and Modelling
Core
Design, develop, and deploy machine learning models for risk scoring, fraud detection, and behavioral analytics in a fintech credit marketplace.
Role type
Lead Data Scientist (Big Data and Modelling)
Builds
Production ML models, scalable data infrastructure, and model monitoring pipelines for credit risk and fraud analytics.
Domain
Fintech / Credit Risk / Fraud Detection
Deliverable
production ML models
Required skills
Python, SQL, Spark, Airflow, Hadoop, AWS/GCP/Databricks, feature engineering, model training, model validation, backtesting, data quality checks, team leadership, technical communication.
Preferred skills
Experience in fintech or banking, credit risk modeling, fraud analytics, financial modelling.
Technologies
Spark, Airflow, Hadoop, AWS, GCP, Databricks
Responsibilities
Lead design and deployment of ML models for risk and fraud; build and maintain scalable data infrastructure; manage and mentor data science teams; translate business problems into data-driven solutions; lead model validation and performance analysis; implement data governance protocols.
Seniority
Senior, hands-on IC with leadership responsibilities
