Fraud Intelligence Data Scientist — AI & ML

Group-IB; Amsterdam; Hybrid; EUR 90,000 - 110,000; Full time

Job summary

Group-IB invites a Data Scientist to join its cybersecurity analytics team in Amsterdam. You will develop end-to-end analytical services to deliver advanced fraud intelligence, leveraging production-grade Python to enhance detection capabilities across session and network data.

The role involves building ETL pipelines, researching fraud mitigation strategies, and deploying ML models and AI agents in a demanding fraud protection ecosystem.

Qualifications

• Strong foundation in tabular data analysis.
• Proficient in production-ready, asynchronous Python (Python 3.10+).
• Experience with Python data analysis libraries, including pandas and scikit-learn.
• Git proficiency; Docker knowledge is a plus.
• Experience building ETL pipelines.
• Experience orchestrating AI coding agents efficiently.
• Research-oriented mindset.
• Knowledge of Elasticsearch, Cassandra, or ClickHouse preferred.

Responsibilities

• Execute data collection and analysis to establish robust ETL pipelines.
• Research fraud mitigation and anomaly detection methods.
• Develop and integrate ML models into the Fraud Protection ecosystem.
• Engineer and validate AI Agents for complex analytical operations.
• Analyze session and network data to develop fraud detection logic.
• Implement predictive modeling and scoring across diverse web entities.
• Document research findings and present results.

Skills

Python

Data analysis

Research mindset

Documentation

Tools

Git

Docker

Elasticsearch

Cassandra

ClickHouse

Job description

Group-IB invites a Data Scientist to join its cybersecurity analytics team in Amsterdam. You will develop end-to-end analytical services to deliver advanced fraud intelligence, leveraging production-grade Python to enhance detection capabilities across session and network data.

The role involves building ETL pipelines, researching fraud mitigation strategies, and deploying ML models and AI agents in a demanding fraud protection ecosystem.