Amsterdam, Noord-Holland, Netherlands

Data Scientist Marketing

Salary: unknownHybridMidData and machine learning

Python

Original posting ↗Apply ↗Company job board ↗See this job in Telegram

Data Scientist Marketing is an open role at bunq, a software company in fintech and payments. It is a hybrid position in Amsterdam, The Netherlands. We classify it as a mid-level role in data and machine learning. Technologies named in the posting: Python. English is required. Perks named in the posting: learning budget. There are 19 open positions from bunq on this site, 2 of them in IT and engineering.

Posted 5 days ago · Last checked 2026-11-03

About bunq

Fintech and payments Software product company 19 open positions, 11% in IT and engineering. Most open roles: General management and executives (3), Product and design (3), Finance and legal (2).

All open jobs at bunq →

Similar jobs

Lead Analytics Engineer - Finance Data (FinOps)pnlfin · United Kingdom | Netherlands | Spain | Poland | Cyprus | GermanyRemote Business intelligence ontwikkelaarHeinenoordZicht Groep · Den Bosch, Noord-Brabant, NederlandHybrid Data & AI EngineerRail Innovators Group · Rotterdam, Zuid-Holland, NetherlandsHybrid Product Data Scientist SaaSJobgether · NetherlandsRemote Data Analyst SaaSJobgether · NetherlandsRemote Deep Learning EngineerRobin Radar · DelftHybrid Deep Learning Engineer (Radar Computer Vision)Robin Radar · DelftHybrid Head of Data Science and Analytics (JetBrains Air)JetBrains · Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, ArmeniaRemote

64 open data and machine learning jobs in the Netherlands All open jobs at bunq →

Workplace	Hybrid
Seniority	Mid
Role	Data and machine learning
Countries	The Netherlands
Languages	Python
Employment type	fulltime_permanent
Key facts	Stack: Python · Languages: English · Learning budget

The full description is on the original posting. Labels are set automatically and can be wrong. About the data