ING, a leading global bank with a strong European presence, is seeking a Machine Learning Engineer intern to join their advanced analytics team. This role offers a unique opportunity to work on developing deep learning models for the bank's mortgage portfolio while being part of a team that applies cutting-edge machine learning and data mining techniques across various banking sectors.
The position involves working with a team that spans across all areas of the bank, including business, risk, retail, and corporate banking. You'll be responsible for building and maintaining ML model codebases, training and deploying models, conducting data analyses, and developing tools to enhance data accessibility throughout the organization.
This internship is particularly suited for students interested in writing their thesis on deep learning applications in banking. You'll be evaluating different approaches and comparing them with currently deployed models, providing real-world experience in applying machine learning solutions to financial challenges.
The ideal candidate should have at least 2 years of practical programming experience, particularly in Python, and be familiar with machine learning frameworks. You'll need strong analytical skills, excellent communication abilities, and a self-driven attitude. The role offers exposure to various aspects of machine learning in banking, from model development to deployment and monitoring.
Working at ING means joining a community of over 60,000 colleagues serving 38 million customers across 40 countries. The bank emphasizes empowerment, innovation, and sustainability, making it an excellent environment for learning and professional growth. This role provides a perfect blend of technical challenge and business impact, ideal for someone looking to build a career at the intersection of machine learning and finance.