Senior Data Scientist - Financial Crime Analytics (Hybrid)

ING; Amsterdam; Hybrid; EUR 100,000 - 135,000; Full time

Benefits offered by this job

Hybrid working

Pension scheme

13th month salary

8% Holiday payment

Job summary

ING is hiring a senior data scientist to advance analytics for Financial Crime and Fraud. You will build scalable data-driven solutions, mentor teammates, and collaborate across globally distributed teams to deliver impactful models.

The role requires 5+ years in data science, strong Python and ML skills, and experience with Spark. A MSc/PhD and knowledge of financial crime domain are highly valued. Hybrid working environment in the Netherlands.

Qualifications

• Masters or PhD in Data Science, Computer Science, Mathematics, Physics, Engineering or Econometrics.
• Proven ML experience to solve business questions and deliver data-driven products.
• Strong Python programming, Git and software engineering practices.
• Experience applying DS to financial crime prevention/detection is a plus.
• Excellent communication and mentoring skills.

Responsibilities

• Develop scalable data-driven solutions for Financial Crime Analytics (imbalanced classification, outlier detection, entity resolution, graph analytics).
• Collaborate with multiple teams to align technical requirements and delivery across the organization.
• Adopt best practices for model pipelines and governance, ensuring quality and reproducibility.
• Mentor junior data scientists and communicate complex topics clearly.
• Continuously learn domain, engage stakeholders, and communicate insights effectively.

Skills

Python

Machine Learning

Spark

NLP

Education

MSc/PhD in DS

Tools

Git

Apache Spark

Scikit-learn

Job description

ING is hiring a senior data scientist to advance analytics for Financial Crime and Fraud. You will build scalable data-driven solutions, mentor teammates, and collaborate across globally distributed teams to deliver impactful models.

The role requires 5+ years in data science, strong Python and ML skills, and experience with Spark. A MSc/PhD and knowledge of financial crime domain are highly valued. Hybrid working environment in the Netherlands.