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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:
We aim to make our hiring process smooth and transparent:
Benefits:
(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.
- 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.
- 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.
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:
- At Riverty, you can be who you are. We are committed to creating an inclusive environment and a culture of appreciation, enriched by our employee networks.
- Prioritize your health with supported sports and leisure activities.
- Take advantage of our numerous training and development opportunities! Enhance your skills with training offered by the Bertelsmann University, language courses, or leadership training.
- Benefit from our discounts on Bertelsmann products and financial incentives.
- With our diverse work models, you can tailor your work to your preferences. Take advantage of mobile office, flexible working hours, and part-time models.
Key Skills
Ranked by relevance
python
machine learning
spark
sql
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- Posted
- Apr 16, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Oslo
- Company
- Riverty
Industries
Financial Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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Senior Data Scientist
2026-05-24
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Technology
Engineering
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Related
Software Engineer
2026-05-29
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Senior Data Engineer/Data Scientist
2026-05-24
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