7 Apr 2026

Senior Data Scientist

ABN AMRO Bank N.V.

Amsterdam

7 Apr 2026

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Senior Data Scientist role at ABN AMRO in Amsterdam, focusing on AI and machine learning to transform banking. Responsibilities include designing and deploying AI solutions using Azure, Databricks, and Python. Requires experience with machine learning, LLMs, and modern AI frameworks.

HybridFull-timeSeniorMachine LearningLLMs

Senior Data Scientist

Apply

HybridFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

machine learningLLMsgenerative AIagentic AIPythonPyTorchscikit-learnMLOpsmodel deploymentmonitoring

Soft Skills

stakeholder managementadvisory skillsownership mindsetcommunicationcollaborationinnovationcuriosityanalytical thinking

Tools (Must-have)

Azure Machine LearningDatabricksSpark

Preferred Qualifications

Technical (Nice-to-have)

big data ecosystems

Key Responsibilities

•Designing, training, and evaluating advanced machine learning, including generative AI and LLM-based solutions
•Exploring and applying complex datasets, metadata structures, knowledge graphs, and unstructured data
•Developing scalable, production ready, AI products using Azure, Databricks, and Spark
•Translating business questions into AI opportunities and communicating insights clearly
•Driving innovation by experimenting with advanced AI capabilities such as generative AI, agentic systems, vector-based retrieval, and automated model development
•Collaborating with Machine Learning Engineers, Data Engineers, Data Analysts, and Domain Experts to embed AI into business and IT processes
•Advising stakeholders on responsible AI, data quality, explainability and model governance

SeniorData ScientistAIMachine LearningBankingAzureDatabricksPythonLLMsGenerative AI

Core Qualifications

Technical (Must-have)

machine learningLLMsgenerative AIagentic AIPythonPyTorchscikit-learnMLOpsmodel deploymentmonitoring

Soft Skills

stakeholder managementadvisory skillsownership mindsetcommunicationcollaborationinnovationcuriosityanalytical thinking

Tools (Must-have)

Azure Machine LearningDatabricksSpark

Key Responsibilities

•Designing, training, and evaluating advanced machine learning, including generative AI and LLM-based solutions

•Exploring and applying complex datasets, metadata structures, knowledge graphs, and unstructured data

•Developing scalable, production ready, AI products using Azure, Databricks, and Spark

•Translating business questions into AI opportunities and communicating insights clearly

•Driving innovation by experimenting with advanced AI capabilities such as generative AI, agentic systems, vector-based retrieval, and automated model development

•Collaborating with Machine Learning Engineers, Data Engineers, Data Analysts, and Domain Experts to embed AI into business and IT processes

•Advising stakeholders on responsible AI, data quality, explainability and model governance