Principal Data Scientist
Core
Own the end-to-end analytical lifecycle to transform complex business challenges into scalable data-driven solutions for ING's global banking network.
Role type
Principal Data Scientist
Builds
Advanced analytical solutions and production-ready ML models for Pricing, Risk Management, Financial Crime, Customer Intelligence, and People Analytics.
Domain
Banking / Financial Services
Deliverable
production ML models
Required skills
End-to-end machine learning project delivery, Statistical modelling, Python, SQL, Large dataset handling, Experimentation design (A/B tests, champion-challenger), Business stakeholder collaboration
Preferred skills
Spark, Cloud-based analytical environments, MLOps practices, Git, DevOps, Experimentation frameworks, Model deployment processes
Technologies
Python, SQL, Spark, Cloud platforms, Git
Responsibilities
Manage the full analytical lifecycle from problem definition to business adoption, Develop machine learning models and statistical frameworks, Design and execute experimentation frameworks, Analyze large and complex datasets to identify trends, Collaborate with stakeholders to translate requirements into scalable solutions, Support model deployment, monitoring, and continuous improvement
Seniority
Principal, hands-on IC with strategic influence
