Consultant V

KBenP; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Job summary

KBenP is seeking a Senior Data Scientist to work in cybersecurity, focusing on AI-driven Identity & Access Management. You will identify high-value AI/ML use cases and develop models to detect anomalous behavior and access patterns, with emphasis on production-ready solutions.

You will test, deploy and monitor scalable models, collaborating with engineers and security specialists to bring analytics into production while ensuring maintainability and robust delivery.

Qualifications

• Extensive experience in data science with AI/ML in cybersecurity.
• Strong software engineering skills and ability to deploy models to production.
• Ability to identify and prioritize AI/ML use cases in IAM contexts.

Responsibilities

• Identify, assess and prioritise AI/ML use cases for cybersecurity and Identity & Access Management.
• Develop machine-learning models to identify 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.
• Work with areas 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.

Job description

As a Senior Data Scientist, the professional will work within a cybersecurity environment on AI-driven Identity & Access Management. The assignment focuses on developing AI and analytics solutions that strengthen cybersecurity controls and provide deeper insights into complex security challenges. A key area of focus is Identity & Access Management (IAM), supporting the secure and effective management of digital identities and access to critical systems. The professional will identify and prioritise relevant AI/ML use cases and develop models to detect areas such as anomalous user behaviour, suspicious access patterns and potential security threats. The focus is not only on modelling, but also on testing, deploying and bringing scalable AI/ML solutions into production. This assignment therefore requires a senior professional who combines strong Data Science expertise with software engineering skills and can independently take ownership from discovery through to delivery.

Werkzaamheden

• Identify, assess and prioritise AI/ML use cases for cybersecurity and Identity & Access Management.
• Develop machine-learning models to identify 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.
• Work with areas 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.