10 Aug 2026

Data Scientist

Group-IB

Amsterdam

10 Aug 2026

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Data Scientist

Group-IB is seeking a Data Scientist in Amsterdam to engineer end-to-end analytical services for advanced fraud intelligence. The role requires production-grade Python development, machine learning, and ETL pipeline experience to enhance fraud detection capabilities.

Core AIOn-siteFull-timeSeniorPythonPandas

Data Scientist

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Core AIOn-siteFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)

Pythonpandasscikit-learnGitETL pipelinesAI AgentsMachine LearningTabular data analysisAsynchronous programmingIDETerminal-based development

Soft Skills

Research-oriented mindsetDocumentationPresentation

Preferred Qualifications

Technical (Nice-to-have)

DockerElasticsearchCassandraClickHouse

Key Responsibilities

•Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.
•Perform advanced research into methodologies for fraud mitigation and anomaly detection within 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.

Data ScientistCybersecurityFraud DetectionPythonMachine LearningETLAI AgentsAmsterdamFull-timeOn-site

Key Responsibilities

•Execute data collection and analysis from disparate sources to establish and maintain robust ETL pipelines.

•Perform advanced research into methodologies for fraud mitigation and anomaly detection within 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.