Hybrid Senior Data Scientist, Financial Crime Analytics

ING Nederland; Amsterdam; Hybrid; EUR 100,000 - 140,000; Full time

Benefits offered by this job

Hybrid work

Pension

Vacation days

Continued learning

Collaborative culture

Job summary

ING in Amsterdam seeks a Senior Data Scientist to lead analytics for Financial Crime & Fraud. You will build scalable data-driven solutions, prototype and deploy model pipelines, and mentor a global team of data scientists and engineers.

You will partner with stakeholders across countries to translate business questions into robust analytics, while ensuring governance and responsible AI practices. Hybrid work and continuous learning opportunities are offered.

Qualifications

• MSc or PhD with excellent academic results in Data Science or related field.
• Strong ML experience and ability to translate business questions into data products.
• Excellent communication and mentoring skills.

Responsibilities

• Lead development of analytics for Financial Crime & Fraud domains.
• Build scalable data-driven solutions and model pipelines.
• Collaborate with global teams to deploy solutions and govern models.
• Mentor junior data scientists and engineers.
• Communicate insights effectively to stakeholders.

Skills

Data Science

Python programming

Machine learning

Team mentoring

Communication skills

Stakeholder engagement

Education

MSc or PhD

Tools

Apache Spark

Job description

ING in Amsterdam seeks a Senior Data Scientist to lead analytics for Financial Crime & Fraud. You will build scalable data-driven solutions, prototype and deploy model pipelines, and mentor a global team of data scientists and engineers.

You will partner with stakeholders across countries to translate business questions into robust analytics, while ensuring governance and responsible AI practices. Hybrid work and continuous learning opportunities are offered.