Fraud Intelligence Data Scientist

Group-IB; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Group-IB in Amsterdam seeks an experienced fraud analytics engineer to build end-to-end analytical services and production-grade Python solutions. You will develop ETL pipelines, fraud detection logic, and predictive modeling across diverse web entities, leveraging session and network data.

The role emphasizes research, machine learning integration, and scalable AI agents, with an emphasis on Elasticsearch/Cassandra/ClickHouse familiarity and a strong data-analysis background.

Qualifications

• Strong background in tabular data analysis and data modelling.
• Production-grade asynchronous Python coding (Python 3.10+).
• Experience with pandas and scikit-learn for data analysis and ML.
• Proficiency with Git; Docker experience is a plus.
• Proficient in IDE and terminal-based development.
• Experience building ETL pipelines for large datasets.
• Experience orchestrating AI coding agents efficiently.
• Research oriented mindset for fraud and anomaly detection.
• Familiarity with Elasticsearch, Cassandra or ClickHouse databases.

Responsibilities

• Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.
• Perform advanced research into fraud mitigation and anomaly detection in transactional and sessional data environments.
• Develop and integrate machine learning models and mathematical algorithms into the Fraud Protection ecosystem.
• Engineer and validate AI Agents tailored for complex analytical operations.
• Analyze session and network data to develop sophisticated fraud detection logic.
• Implement predictive modeling and scoring methodologies across diverse web entities.
• Synthesize research findings into comprehensive documentation and formal presentations.

Skills

Tabular data analysis

Asynchronous Python (3.10+)

Python data analysis (pandas, scikit‑"

Git

Docker

ETL pipelines

AI agents orchestration

Research mindset

Elasticsearch

Cassandra

ClickHouse

Tools

Elasticsearch

Cassandra

ClickHouse

Job description

Group-IB in Amsterdam seeks an experienced fraud analytics engineer to build end-to-end analytical services and production-grade Python solutions. You will develop ETL pipelines, fraud detection logic, and predictive modeling across diverse web entities, leveraging session and network data.

The role emphasizes research, machine learning integration, and scalable AI agents, with an emphasis on Elasticsearch/Cassandra/ClickHouse familiarity and a strong data-analysis background.