Senior Data Scientist – AI-driven Identity & Access Management

MEERAB GROUP; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

MEERAB GROUP in Amsterdam is seeking a Senior Data Scientist to join our cybersecurity team, focusing on AI-driven Identity & Access Management. You will develop AI and analytics solutions spanning discovery, model development, testing, deployment and production of scalable AI/ML solutions.

The role emphasizes producing production-ready code, collaboration across engineers and cybersecurity specialists, and delivering measurable insights into complex security challenges.

Qualifications

• Senior-level data science experience with AI/ML.
• Proficient in Python, PySpark and SQL with production-ready code.
• Experience with MLOps tools such as Databricks, MLflow, CI/CD pipelines.
• Strong collaboration with engineers, cybersecurity specialists and business stakeholders.

Responsibilities

• Identify, assess and prioritize AI/ML use cases for cybersecurity and Identity & Access Management.
• Develop machine-learning models to detect anomalous user behaviour and security threats.
• Develop, test and deploy scalable AI/ML models for integration into cybersecurity platforms.
• Build AI, LLM and advanced analytics solutions, including prompt design, evaluation and monitoring.
• Bring analytical solutions into production with maintainability, testing and software delivery.
• Independently take ownership of projects from discovery through to delivery.
• Collaborate with engineers, cybersecurity specialists and business stakeholders.

Skills

Senior data science

Collaboration

Education

Bachelor's or higher in quantitative field

Tools

Python

PySpark

SQL

Databricks

MLflow

CI/CD pipelines

Job description

We are seeking a Senior Data Scientist to join our cybersecurity team, focusing on AI-driven Identity & Access Management. The role involves developing AI and analytics solutions to strengthen cybersecurity controls and provide deeper insights into complex security challenges. You will work across discovery, model development, testing, deployment and production of scalable AI/ML solutions.

Key Responsibilities

• Identify, assess and prioritize AI/ML use cases for cybersecurity and Identity & Access Management.
• Develop machine-learning models to detect anomalous user behaviour, suspicious access patterns and potential security threats.
• Develop, test and deploy scalable AI/ML models for integration into cybersecurity platforms.
• Build AI, LLM and advanced analytics solutions, including prompt design, structured outputs, evaluation and monitoring.
• Bring analytical solutions into production with a strong focus on maintainability, testing and software delivery.
• Independently take ownership of projects from discovery through to delivery.
• Collaborate with engineers, cybersecurity specialists and business stakeholders.

Required Qualifications

• Senior-level data science experience with a strong track record in AI/ML.
• Proficient in Python, PySpark and SQL, producing clean, maintainable, production-ready code.
• Experience with MLOps tools such as Databricks, MLflow, CI/CD pipelines, testing and deployment.
• Strong collaboration skills with engineers, cybersecurity specialists and business stakeholders.

Nice to have

• A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering or a related quantitative field.
• Knowledge of Identity & Access Management, including high-privilege access, authorisation management and privilege session management.
• Experience in a regulated environment such as banking, financial services, risk, compliance or cybersecurity.