- Designs and delivers advanced data science, machine‑learning, Gen AI solutions to extract actionable insights from large, complex structured and unstructured datasets, supporting evidence‑based policy and decision‑making
- Adapts and extends analytical techniques to develop classification, prediction, credit decisioning, propensity and optimization models tailored to complex business problems
- Leads end‑to‑end analytical delivery across the data lifecycle, including data preparation, modelling, deployment, monitoring, and governance
- Deploys and operationalizes models into production environments, establishing automated, repeatable analytical processes and MLOps/ModelOps practices
- Translates complex technical findings into clear, decision‑ready insights through advanced visualization, reporting, and stakeholder engagement
Top Skills
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
