Data Scientist
Core
Extract insights from large datasets, develop predictive models, and create data-driven solutions to support stakeholder decisions in a banking environment.
Role type
Data Scientist
Builds
Production ML models and data-driven solutions for risk, retail, and corporate banking
Domain
Financial services / Banking
Deliverable
production ML models
Required skills
Python, PySpark, SQL, machine learning libraries (scikit-learn, pandas, numpy), feature engineering, model deployment
Preferred skills
Cloud platforms (AWS, GCP, Azure), Object-Oriented Programming, Git workflows, financial services domain experience
Technologies
Python, PySpark, SQL, scikit-learn, pandas, numpy, matplotlib, AWS, GCP, Azure, Git
Responsibilities
Extract insights from large datasets, develop predictive models, create data-driven solutions, collaborate with cross-functional teams, design experiments, deploy models into production
Seniority
Mid-level (2+ years experience)
