Senior Data Scientist

Do you want to shape how AI transforms the banking industry? Are you passionate about advanced machine learning, LLMs, and intelligent data products? Do you get energy from turning complex business challenges into AI-driven solutions?

Then this is your opportunity to help accelerate the AI revolution within I&T / Change Management & Consultancy / Enterprise Enabling Data Domain!

As our Data Scientist, you play a key role in realising the ABN AMRO strategy by designing, developing, and bringing AI-powered solutions into production. You work with modern tooling, large and complex datasets, and cloud-based platforms to create solutions that deliver tangible business value.

You identify opportunities where AI can enhance processes, support strategic decision-making, and unlock new ways of working. You collaborate with stakeholders to understand problems and translate them into scalable AI products. The departments see the data scientists as the expert on this subject, so that is what you will be for them.

Examples of your responsibilities

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

You will join the Enterprise Enabling Data Domain, a cross-functional team that delivers Business Insights and AI solutions for a wide range of stakeholders across the I&T organisation and beyond.

We work with cutting-edge technology and encourage innovation, experimentation, and continuous improvement. The atmosphere is informal, open, and focused on learning - mistakes are part of success.

The team consists of around 18 professionals: Data Scientists and Machine Learning Engineers, working closely together on projects that matter. Collaboration with departments like CDO, COO, P&T, Procurement, CIO’s, CISO and bank-wide programs is part of your daily work.

You are curious, analytical, and passionate about AI. You can translate complex questions into practical, high-impact AI solutions. You understand both the technical side of AI and how to turn it into value for stakeholders.

You enjoy working with others, communicate clearly, and are always eager to explore new AI capabilities. You are excited to share your insights with multiple stakeholders and data specialists!, * An attractive gross monthly salary based on a 36-hour work week, including holiday allowanceand a flexible benefit budget.

• An excellent pension scheme, ensuring that you are well prepared for the future.
• Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
• Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
• Five “Banking for better days”: extra days off that you can use for personal development or volunteer work.
• Personal development is key: you receive a development budget of €1,000 per year, which can accumulate up to €3,000.
• An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.

• Proven experience with machine learning, LLMs and generative or agentic AI
• Hands-on with Azure Machine Learning, Databricks, and Spark
• Proficient in Python with experience in modern ML/AI libraries and frameworks (e.g. PyTorch, scikit-learn, and related tooling)
• Experience with MLOps, model deployment, monitoring, and automated pipelines
• Experience with innovation-driven projects involving emerging AI techniques
• Up-to-date knowledge of modern AI/ML research, tooling and best practices
• Fluent in English

We also like you to have:

• Strong stakeholder management and advisory skills
• Ownership mindset and a passion for producing high-quality, production-ready solutions
• Enjoyment in working in a multicultural and interdisciplinary environment
• Understanding of responsible AI principles, fairness, transparency, and governance
• Experience working with big data ecosystems

We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.