Data scientist
Role details
Job location
Tech stack
Job description
You already have years of experience working with data and know how to create impact. Now you want your work to truly matter. In this role, you help detect financial crime. You work with data from millions of customers and see the direct effect of your analyses. Through Projective Talent, you enter an environment where your expertise is valued and where you have room to shape direction. This is a strong next step if you want to influence decisions and systems. The role in short As a Senior Data Scientist, you improve systems that detect suspicious transactions. You build solutions that help identify risks faster and more accurately. This allows analysts to focus on real risks. What you will do - Build and improve data pipelines for analyses and model improvements - Perform analyses from start to finish: from intake to presentation - Develop dashboards that provide insight into monitoring system performance - Work with other teams to bring solutions into production - Guide colleagues and share your technical vision
Requirements
Your skills - You have a Master's degree in a technical field - You have at least 5 years of experience in data analysis with Python - You have experience with PySpark, Databricks, and Power BI - You work independently and take ownership of your projects - You can guide colleagues and explain complex topics clearly
Benefits & conditions
Our offer - Duration: 1 year, with possibility of extension - Hours: 36 to 40 hours per week - Salary: up to €14,000 per month based on 40 hours - Fixed office days: Monday and Thursday Amsterdam Projectmanagement De Channel Experience NL Tribe is op zoek naar een Customer Journey Expert voor de Digital Channels Area. Binnen Channels NL werk je in een dynamische omgeving waarin ING voortdurend klant- en medewerkerreizen verbetert binnen de Nederlandse digitale kanalen, waaronder de ING App, de ING-webs...