Agentic AI Data Scientist (Wholesale Banking)

ING is a global financial institution looking for a Agentic AI Data Scientist to contribute to building algorithmic, 10x data-driven products for wholesale banking. The role involves scoping, developing, validating, and documenting Agentic AI solutions, particularly in the KYC domain. The successful candidate will work as part of a cross-functional analytics squad and will be responsible for developing deep expertise in applying Agentic AI techniques to perform automated tasks in the KYC domain.

Requirements

• Proven experience working with Agentic AI and LLM techniques.
• A degree in Mathematics, Physics, Computer Science, Engineering, Econometrics, or a related field; MSc or PhD is a plus.
• At least 3+ years of work experience in the Data Science field, covering: Data science methods and technologies, Statistical modeling, Machine learning applied to business problems and/or innovative data-driven products
• Strong proficiency in Python (required)
• Solid knowledge of a wide range of machine learning algorithms, from classical econometric models to state-of-the-art neural networks, and the ability to match them to business problems

Benefits

• Welcome Leave: Enjoy 14 days of welcome leave, even in your first year!
• Career Opportunities: Self-driven career paths to navigate your journey.
• Personal Growth: Challenging work with endless opportunities.
• Dynamic Environment: Informal, vibrant, and innovative culture.
• Innovation Culture: Explore and apply PACE methodology.
• Global Exposure: Work on global projects.
• Health Care: Comprehensive health insurance for you and your family.
• Private Pension Plan: Secure your future.
• Meal Card, Transportation Allowance, MultiSport Membership, English Development Support

Tagged as: Data Analysis, Python