Key Skills

Job Description

At bunq, we’re on a mission to Make Life Easy for our users by creating the most user-centric banking experience out there. Our paid marketing campaigns run on predictions about which new users will turn out to be valuable. This role makes sure those predictions are right. That’s where you come in. As our Data Scientist, Marketing, you’ll own the machine learning models that predict the value of every newly verified user and feed that value into Google Ads, so our campaigns find more users like them. If the models are off, the spend is off. AI can help you write and debug code, but it can’t build the model or judge whether the output can be trusted. That judgment is yours. Take Ownership 🚀 You’ll own the predictive models that steer our marketing spend. Here’s how you’ll do it: Build, maintain and expand the predictive models for marketing, from first idea to production, starting with the models that predict each new user’s value in their first 90 days. Hit the model quality targets within 9 months: a Spearman rank correlation of 0.50 or higher and a binary model AUC of 0.75 or higher. Keep the models running in production and monitor data and model health to find where to intervene, using Claude Code to move faster and validating everything it produces. You’ve built predictive models with traditional machine learning, such as XGBoost. You’ve written Python and built the data pipelines a model needs, including when none existed. You’ve shipped ML models to production and kept them running. You’ve done deep dives into data and model health to find what needs intervention. You use AI tools like Claude Code in your daily work and know where they stop. You are fluent in English. Curious to see how we make life easy? - try the bunq app, it only takes 5 minutes to sign up. Your space to perform We give you the space and the tools you need to succeed 💪 🤟 Great, international colleagues who share your mindset 👩‍💻 Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. 🧳 Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration 🚀 We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office. 📚 We support growth with bunq Academy and €1500 annual learning budget 🧘 €60 monthly allowance via Alleo by Epassi, rolling over monthly and resetting annually 🚌 Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices 🌳) 💻 A MacBook so you can Get Shit Done with us 🥦 Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options 💰 An optional pension plan with monthly contribution from bunq 💸 Monthly contribution to your phone and internet bills 🍻 Friday drinks and other celebrations - bunq style All new hires are subject to Pre-employment Screening (PES), which includes checks conducted by our third-party partner, Zinc. This is part of our commitment to a secure and trustworthy workplace

Core Responsibilities

Build, maintain, and expand predictive marketing models, beginning with models that estimate the value of newly verified users during their first 90 days, and deliver them to production for use in Google Ads. Monitor production models and data health, investigate issues requiring intervention, and validate AI-assisted code and outputs.

Requirements

Candidates should have experience building predictive models with traditional machine learning methods such as XGBoost, writing Python, and creating the data pipelines models require. They should have shipped and maintained production ML models, conducted deep dives into data and model health, use AI tools such as Claude Code with sound judgment, and be fluent in English.

Benefits

• Hybrid Work Arrangement
• Digital Nomad Program
• Travel Budget
• Learning Budget
• Monthly Wellness Allowance
• Travel Expense Coverage
• Company Laptop
• Catered Lunches
• Optional Pension Plan
• Phone and Internet Allowance
• Team Events