Data Analyst with strong Data Scientist skills

Job description

You will be involved in projects related to credit acceptance, personalisation, transaction categorization and pricing. You will have a hybrid role doing working mostly as an analyst and sometimes as a data scientist. As analyst, you will use your analytical and communication skills to optimize product funnels, develop complex reports, design and analyse A/B testing or generate other business insights. As data scientist you will develop full modelling pipeline using tree-based approaches. You will be part of a team with highly skilled and motivated colleagues, take ownership of your tasks and interact with fellow team members by sharing knowledge and experience. The team: The Retail Banking Analytics (RBA) Chapters provides ING with expertise for analytics lending, pricing and personalization. We are based in Amsterdam and consist of 15+ highly-skilled and talented Data Scientists from diverse nationalities and backgrounds. To create more impact, we are extending our team with motivated Data Analysts. We work in a fun and creative environment, and we are dedicated to bringing out the best in both each other and our projects through collaboration and knowledge sharing. The portfolio...