Senior Data Scientist

EUR 72,800-104,000 per year
SENIOR
✅ Hybrid

🕙 36-40 hours per week

Tech Stack

AI @ 4 Agentic AI @ 4 Agentic Systems Azure @ 4 Databricks @ 4 GenAI Generative AI @ 4 LLM MLOps @ 4 Machine Learning @ 4 PyTorch @ 6 Python @ 6 Spark @ 4 scikit-learn @ 6

Details

Shape how AI transforms the banking industry by designing, developing, and bringing AI-powered solutions into production within ABN AMRO's Enterprise Enabling Data Domain. The role involves working with modern tooling, large and complex datasets, and cloud-based platforms to create scalable solutions that deliver business value.

Responsibilities

  • Design, train, and evaluate advanced machine learning, generative AI, and LLM-based solutions.
  • Explore and apply complex datasets, metadata structures, knowledge graphs, and unstructured data.
  • Develop scalable, production-ready AI products using Azure, Databricks, and Spark.
  • Translate business questions into AI opportunities and communicate insights clearly.
  • Experiment with generative AI, agentic systems, vector-based retrieval, and automated model development.
  • Collaborate with Machine Learning Engineers, Data Engineers, Data Analysts, and Domain Experts to embed AI into business and IT processes.
  • Advise stakeholders on responsible AI, data quality, explainability, and model governance.
  • Work within a cross-functional team of Data Scientists and Machine Learning Engineers supporting stakeholders across the I&T organisation and beyond.

Requirements

  • 5+ years of experience.
  • Proven experience with machine learning, LLMs, and generative or agentic AI.
  • Hands-on experience with Azure Machine Learning, Databricks, and Spark.
  • Proficiency in Python and modern ML/AI libraries and frameworks, such as PyTorch and scikit-learn.
  • 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.
  • Strong stakeholder management and advisory skills.
  • Ownership mindset and a commitment to high-quality, production-ready solutions.
  • Understanding of responsible AI principles, fairness, transparency, and governance.
  • Experience working with big data ecosystems.
  • Fluent in English.
  • Ability to work in a multicultural and interdisciplinary environment.

Benefits

  • Salary scale 11 of €6,066–€8,666 per month.
  • Personal development budget of €1,000 per year.
  • Flexible and hybrid working options.
  • Public transportation pass or travel budget.
  • Opportunity to work with leading AI technologies in a modern data environment.
  • Responsibility for owning solutions end to end.
  • Excellent employment conditions and extensive internal career opportunities.

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