SeniorDataScientist

Purpose of the Job The Tribe Corporate Customer Data Management (CCDM) is at the forefront of understanding and optimizing customer data-related journeys for Wholesale Banking (WB). By analysing customer data, we uncover insights that help us enhance every touchpoint along the customer journey and improve and enrich our customer data along the way. Our team is passionate about customer data and driven to create meaningful improvements that impact every customer journey across Wholesale Banking. Our tribe’s purpose is to transform WB from a product to a customer-centric digital organization, with one core customer view (organization, hierarchy, agreement references, associated individuals, and mandates), and consequently maximize the possibilities of self-servicing in processes for corporate customers. As a Senior Data Scientist, you will play a key role in developing and deploying advanced AI models, particularly leveraging Large Language Models (LLMs), to improve data quality, automate entity resolution, and extract structured information from unstructured sources like PDFs. Role and Responsibilities Your responsibilities: * Design and develop LLM-based solutions (hugging face, sentence transformers, local stored model) for entity matching and information extraction from documents (e.g., contracts, KYC files, mandates). * Build and maintain scalable pipelines for deploying LLMs in production, including prompt engineering, fine-tuning, and evaluation. * Collaborate with data engineers and business stakeholders to integrate model outputs into customer data journeys. * Contribute to the development of “Entity Matching as a Service” (EmaaS) and other reusable AI components. * Support the squad in improving data quality and completeness across ING’s Wholesale Banking domains. Your Experience * **What you should already be comfortable with** * Solid experience working in data science or applied machine learning, with exposure to NLP and Large Language Models. * Good Pyth