Senior Data Scientist

ING

ING, one of Europe's largest banks, continuously evolves to become a leader in data-driven digital solutions. The ING Analytics group is pivotal in transforming the organization, making them a key player in developing analytics models and services. The Retail Banking Analytics Data Science Chapter leverages machine learning to enhance sectors like lending and pricing, offering a collaborative environment for talented data scientists.

In this role you can expect to have the responsibilities:

• Develop machine learning and analytics solutions for business use cases
• Collaborate with other data scientists and engage with stakeholders
• Work alongside subject matter experts and ML engineers to implement models

This role comes with the following benefits:

• Work within an international and ambitious team
• Full-time position with a comprehensive benefits package
• Engage in impactful projects within a global organization
• Provision of MacBook Pro and allowances for work-related tech
• Opportunities for international travel

This role requires you to have:

• At least 5 years of experience in data science
• Experience in lending, credit risk, or credit decision domains
• Strong Python and Apache Spark programming skills
• Proficiency in MS Azure DevOps and Google Cloud Platform
• Solid educational background in mathematics and statistics
• Excellent communication skills in English

You would benefit from having:

• Hands-on experience in private sector data science projects
• Experience leading multiple data science projects

ING's strategy centers around being entrepreneurial, collaborative, and customer-focused. The position emphasizes generating data-driven solutions using advanced analytics and machine learning.