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 (Strategy & Hands-on IC)
Builds
Production ML models, statistical frameworks, and analytical solutions for Pricing, Risk Management, Financial Crime, Customer Intelligence, and People Analytics.
Domain
Global Banking / Financial Services
Deliverable
production ML models
Required skills
End-to-end machine learning project delivery, statistical modelling, Python, SQL, large-scale dataset handling, A/B testing design, champion-challenger methodologies, model validation frameworks, business stakeholder collaboration.
Preferred skills
Spark, cloud-based analytical environments, MLOps practices, Git, DevOps, experimentation frameworks, model deployment processes.
Responsibilities
Manage the full analytical lifecycle from opportunity identification to business adoption; analyze large datasets to identify trends and root causes; develop ML models and analytical solutions for critical business decisions; design and execute experimentation frameworks; collaborate with stakeholders to translate requirements into scalable solutions; support model deployment, monitoring, and continuous improvement; communicate analytical findings to organizational stakeholders.
Seniority
Principal, strategy & mentorship
