Analytical and Problem solving, Apache Hadoop, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Visualization, DevOps, Effective communication skills, Machine learning techniques, Python Programming, Spark Core, SQL
We are looking for you, if you:
English level: B1
You'll get extra points for:
Your responsibilities:
Information about the squad:
We are a dynamic and rapidly growing tech company, seeking a talented Machine Learning Analyst to join our team. The successful candidate will be responsible for implementing PMML models in our anti-fraud system within the banking sector.
Are you interested in becoming an integral part of a pioneering team that cooperates in designing, building, and implementing PMML models for a multi-system platform in the realm of banking fraud detection? We employ a wide range of technologies. Our team also enjoys the flexibility to experiment with cutting-edge technologies and techniques in the field of machine learning.
Our clientele includes various divisions of the ING Group, spanning countries such as the Netherlands, Germany, Spain, Italy, Poland, and Romania. By joining us, you will have the opportunity to implement and optimize Machine Learning models on a global scale, crafting innovative solutions for customers in diverse countries. We are committed to continuous professional development and offer every team member the chance to expand their skills and pursue their interests in a dynamic and collaborative environment.
Our team operates within a Scrum framework, and we're currently seeking an additional Machine Learning Analyst. Could this be the role for you?
Questions about this opportunity?
Feel free to contact Team, Recruiter. e-mail: Career.INGHubsPoland@ing.com
The ING Group is a Dutch multinational banking and financial services corporation headquartered in Amsterdam. Its primary businesses are retail banking, direct banking, commercial banking, investment banking, wholesale banking, private banking, asset management, and insurance services.
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