(Senior) Data Scientist (m/f/d)

At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic and user-friendly to empower financial growth for everyone. To do this, we rely on 50 years of experience and the commitment of over 5,000 creative minds, innovators and explorers in 11 countries.

Are you ready?

As part of our community, you will have the opportunity to develop your skills and transform the world of finance together with us. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance.

We are looking for a

(Senior) Data Scientist (m/f/d)

(full-time) at our location in Oslo, Berlin, Verl, Stockholm or Amsterdam (flexible working conditions available)

The Data Science (Consumer and Risk) team at Riverty is looking for skilled professionals to build Risk and Fraud machine learning models for our online payment products. Our primary goal is to determine whom to accept and whom to decline based on data from past customers. This involves both detecting fraudulent transactions and identifying trustworthy ones by analyzing payment histories of similar customers.

Your Responsibilities:

Participate in the entire modeling process, from data cleaning and feature engineering to model training and evaluation.
Anticipate potential issues in the model-building process and suggest strategies to mitigate pitfalls.
Engage in coding and code reviews to ensure quality and efficiency.
Collaborate within a cross-functional team to drive innovation and effectiveness.

What You Bring:

Experience working with transactional databases or case handling systems.
A bachelor's, master's, or Ph.D. in a STEM field (e.g. Computer Science, Mathematics, Statistics, Engineering, or related disciplines).
Ability to work with imperfect data—data collected for purposes other than machine learning.
Hands-on experience deploying models into production.
Proficiency in Python for data science applications.
Familiarity with common data science frameworks in Python.
A strong interest in learning new tools and technologies.

Bonus Skills:

Experience writing production-ready Python code.
Knowledge of SQL, relational databases, Spark, Databricks, VS Code, and Docker.
Previous experience in the risk and fraud domain.

Our Hiring Process:

We aim to make our hiring process smooth and transparent:

Pre-screening Call with HR: A brief conversation to understand your background and motivation.
Live Coding Challenge: A short technical task to evaluate your coding skills.
Interview with the Hiring Manager: A discussion about your experience, problem-solving approach, and team fit.
Bar Raiser Interview with the Department Lead: A final conversation to assess cultural and strategic alignment.
Benefits:
Mobile Office: Opportunity to work from home
Discounts & Extras: Exclusive Bertelsmann discounts and financial benefits, e.g., €1,500 referral bonus
Flexible Working Hours and Models: Customize your working hours to suit your needs
Training & Development: A variety of (online) courses, from language learning to leadership training, e.g., from Bertelsmann University
Health & Leisure: Supported sports and (mental) health programs, e.g. from our partner TELUS Health
Appreciative Environment: Diversity and employee networks enrich our culture

#EUR5

Equal Opportunity Employer Statement

We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table. Therefore, we are actively looking for people who enrich our company through their identity, background and personal experiences, with or without a disability.