Senior Data Scientist - Financial Crime Analytics (Hybrid)

ING Nederland; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Pension scheme

13th month salary

Holiday pay 8%

Job summary

ING Nederland is seeking a Senior Data Scientist to advance Financial Crime Analytics and deliver scalable data-driven solutions. You will collaborate with cross-functional teams to deploy models and ensure governance while translating complex results into actionable insights for business partners.

The role requires a MSc/PhD in a relevant field, strong Python and Spark experience, and the ability to mentor junior data scientists while communicating clearly with technical and non-technical

Qualifications

• MSc/PhD with excellent results in DS, CS, Math, or a related field.
• Extensive ML knowledge: classification, outlier detection, NLP, regression, clustering.
• Strong Python programming and Git with OO practices.
• Experience with Spark and scalable ML pipelines a must.

Responsibilities

• Create innovative scalable data-driven solutions in Financial Crime Analytics.
• Collaborate with multiple teams to align technical requirements and delivery.
• Adopt best practices for developing and deploying model pipelines with governance.
• Be a proactive member of a model development squad and mentor junior data scientists.
• Tell compelling data stories to drive safety and compliance improvements.

Skills

Data science

Machine learning

Python

Communication

Mentoring

Team collaboration

Education

MSc/PhD in DS/CS/Math/Engineering

Tools

Apache Spark

Git

Job description

ING Nederland is seeking a Senior Data Scientist to advance Financial Crime Analytics and deliver scalable data-driven solutions. You will collaborate with cross-functional teams to deploy models and ensure governance while translating complex results into actionable insights for business partners.

The role requires a MSc/PhD in a relevant field, strong Python and Spark experience, and the ability to mentor junior data scientists while communicating clearly with technical and non-technical