Senior Data Scientist – AI-driven Identity & Access Management

Appsierra Group; Amsterdam; On-site; EUR 95,000 - 140,000; Full time

Job summary

Appsierra Group is seeking a senior data scientist to design and deploy AI/ML solutions for cybersecurity and identity access management. You will own end-to-end model development, from discovery through production deployment, collaborating with engineers and business stakeholders in Amsterdam.

The role focuses on scalable AI/LLM work, maintainable code, and thorough testing within regulated security contexts.

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.

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.

Skills

Python

PySpark

SQL

MLOps

Production-grade coding

Education

Degree in CS/DS/AI

Tools

Databricks

MLflow

Job description

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.