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Senior Data Scientist

ABN AMRO Bank N.V.

Diemen
Full-time
5-10 years experience
Hybrid

Key Skills

Machine Learning
Generative AI
Large Language Models
Agentic AI
Python
Azure Machine Learning
Databricks
Apache Spark
PyTorch
Scikit-Learn
MLOps
Model Deployment
Model Monitoring
Automated Pipelines
Stakeholder Management
Responsible AI

Job Description

At a glance 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! Your job 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 Working environment 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. Your profile 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! This is on your resume: 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 are offering 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. In addition, we offer: 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. You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy. Interested? Please express your interest by applying online with your resume and a motivational letter. For questions, contact Yasmine de Jeu – Head of AI CoE - if you have any questions via email: [email protected]. You can apply up to and including Thursday, 1 October. Your Future: Inclusive, Innovative, Sustainable At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of being a personal bank in the digital age aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future. If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume. Disclaimer external recruitment agencies External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.

Core Responsibilities

Design, train, evaluate, and deploy scalable AI and machine learning products using complex datasets and cloud-based platforms. Translate business challenges into AI opportunities, advise stakeholders on responsible AI and governance, and collaborate with engineering and domain teams to embed solutions into business and IT processes.

Requirements

The role requires proven experience with machine learning, LLMs, generative or agentic AI, and hands-on use of Azure Machine Learning, Databricks, Spark, and Python-based ML frameworks. Candidates should also have experience with MLOps and production deployment, stay current with AI practices, communicate fluently in English, and be able to advise stakeholders; responsible AI and big data experience are also valued.

Benefits

  • Flexible Benefit Budget
  • Pension Scheme
  • Flexible Working
  • Home Office Equipment
  • Five Weeks Of Vacation
  • Additional Vacation Purchase
  • Personal Development Days
  • Annual Development Budget
  • Public Transport Pass

About ABN AMRO Bank N.V.

Industry: Banking

Company size: 10,001+ employees

Welkom op het LinkedIn-account van ABN AMRO. Onze taak is altijd om de klant te ondersteunen op het moment dat het er echt op aankomt. Dat is onze verantwoordelijkheid. Dat maakt ons relevant. En wat er vandaag de dag toe doet voor de klant is de transitie naar een duurzaam tijdperk. Klanten willen een positieve invloed uitoefenen en als bank willen we ze daarbij helpen. Die overgang naar duurzame manieren van wonen en werken ondersteunen we met een naadloze (financiële) ervaring. Mogelijk gemaakt door zeer betrokken, vaardige en productieve mensen. En natuurlijk geven we daarin zelf het goede voorbeeld. Bij onze bank zijn ongeveer 22.500 mensen werkzaam, waarvan meer dan 5.000 buiten Nederland. Met al deze collega's bieden wij je hier onze kennis en deskundigheid over de financiële markt, informatie over verschillende sectoren, nieuws over onze duurzame strategie en onze organisatiecultuur. Wil je hier meer over weten? Volg ons op LinkedIn of bezoek onze website.

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