Senior Data Scientist - Cyber Risk Analytics & AI

ING Bank Personeel; Madrid; On-site; EUR 90,000 - 130,000; Full time

Job summary

ING Hubs Spain is seeking a Senior Data Scientist to join the Security Analytics team, focusing on Third-Party Cyber Risk Management. You will design and operationalise AI-driven solutions, build continuous risk models, and deploy end-to-end analytics across multiple data sources and stakeholders.

The role emphasizes deploying robust, explainable models, proactive risk scoring, and collaboration with cybersecurity teams to strengthen vendor risk management and regulatory compliance.

Qualifications

• Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics or related quantitative discipline
• 7+ years of professional experience in data science, analytics, ML or related field
• Familiarity with generative AI, LLM-based applications and agentic AI architectures
• Strong Python and SQL skills with hands-on experience in ML libraries
• Experience building, validating and deploying models through their lifecycle
• Strong statistical methods, predictive modelling and feature engineering knowledge
• Experience with heterogeneous data and translating business problems into analytical approaches
• Familiarity with model governance, reproducibility and MLOps practices
• Ability to lead technical initiatives while collaborating with multidisciplinary teams
• Strong analytical and communication skills to explain complex modelling to non-technical audiences

Responsibilities

• Design, develop and maintain AI models to quantify, assess and monitor third-party cyber risk
• Develop dynamic vendor risk scoring by integrating multiple data sources
• Apply predictive analytics, anomaly detection and other advanced techniques
• Explore agentic AI solutions using LLMs and automated reasoning workflows
• Own the model lifecycle from data prep to recalibration
• Collaborate with TPCRM specialists, cybersecurity teams and data engineers
• Ensure models are robust, explainable and compliant with governance
• Communicate findings and risk insights to technical and non-technical stakeholders
• Identify new data science use cases to enhance third-party risk management

Skills

Python

SQL

Statistical modelling

Machine learning

Communication

Problem solving

Leadership

Regulatory awareness

Education

Master's degree or PhD in Data Science or related quantitative discipline

Tools

Git

Cloud platforms (AWS/GCP)

MLOps

Data visualization tools

Job description

ING Hubs Spain is seeking a Senior Data Scientist to join the Security Analytics team, focusing on Third-Party Cyber Risk Management. You will design and operationalise AI-driven solutions, build continuous risk models, and deploy end-to-end analytics across multiple data sources and stakeholders.

The role emphasizes deploying robust, explainable models, proactive risk scoring, and collaboration with cybersecurity teams to strengthen vendor risk management and regulatory compliance.