Senior Data Scientist
Key Skills
Job Description
Original posting date was 8/9/2026 The team You will join ING's global Analytics organization, working with Product Leads, Engineers, Data Scientists, and business stakeholders across countries and domains. The team develops intelligent systems using Generative AI, Large Language Models, retrieval technologies, and agentic workflows for highly regulated financial-services environments. This is a hands-on individual-contributor role for an experienced Data Scientist who wants to broaden their technical influence. You will help teams make sound architectural choices, establish reusable practices, share knowledge, and turn promising ideas into solutions that create measurable business value. Roles And Responsibilities As a Senior AI/LLM Data Scientist in Agentic AI, you will: Design, build, and deploy AI agents and intelligent workflows powered by Large Language Models. Develop multi-agent solutions that interact with tools, APIs, databases, workflows, and business applications. Create Retrieval-Augmented Generation architectures using vector databases, embeddings, and retrieval-based patterns. Build context-aware AI solutions that combine business data, enterprise systems, and Large Language Models. Define technical standards, guide architectural decisions, and contribute to reusable Agentic AI practices across ING. Establish evaluation, monitoring, governance, reliability, and model-optimization approaches for production AI solutions. Collaborate across disciplines and countries, while mentoring Data Scientists and promoting knowledge sharing. How To Succeed We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. To Be Successful In This Role, You Bring At least five years of experience in Data Science, Machine Learning, NLP, Generative AI, or a related discipline, supported by a relevant degree or equivalent expertise. A track record of building and deploying production-grade AI applications, with strong Python skills and production-ready software-engineering practices. Hands-on experience with LLM, Generative AI, NLP, or Agentic AI solutions, including modern prompting, evaluation, and model-optimization approaches. Practical experience designing RAG systems using vector databases, embeddings, and retrieval-based architectures. Experience integrating AI systems with APIs, tools, databases, workflows, and enterprise platforms. Clear communication and strong collaboration skills, including the ability to mentor and coach Data Scientists and foster knowledge sharing. An advantage: experience with LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, Azure AI, OpenAI APIs, Vertex AI, workflow orchestration platforms, fine-tuning, PEFT, or distributed AI architectures. We value leadership impact and adaptability as much as strict checklist experience. If your background aligns with the core vision of this role, even if you don't tick every single bullet point, we strongly encourage you to apply. Tell us in your application or cover note what unique perspective and track record you'll bring to the team. Rewards And Benefits We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions. The Benefits Of Working With Us At ING Include 25-28 vacation days depending on contract Pension scheme 13th month salary 8% Holiday payment Hybrid working Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues About Us Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you. Questions? Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
Core Responsibilities
You will design, build, and deploy intelligent AI agents and workflows using Large Language Models and RAG architectures. Additionally, you will define technical standards, mentor team members, and collaborate across disciplines to deliver production-grade AI solutions.
Requirements
Candidates must have at least five years of experience in Data Science, Machine Learning, or Generative AI with a strong track record in production-grade software engineering. Proficiency in Python and practical experience with LLM-based architectures and vector databases are essential for this role.
Benefits
- 25-28 Vacation days
- Pension scheme
- 13th month salary
- 8% Holiday payment
- Hybrid working
- Personal growth
About ING Nederland
Industry: Banking
Company size: 10,001+ employees
ING ING is a global bank with a strong European base. With 14,500 employees in the Netherlands, we’re one of the biggest employers of the country. Our research tells us that we stand out here because of our great working culture, competitive benefits, and interesting work. We believe in sustainable progress for all, not just for the few. We aim to support and contribute to economic, social and environmental progress. Collaborative and inclusive We’re proud of our diverse and multinational make-up. Joining the ING team means contributing to a collaborative and inclusive culture, having a hybrid way of working, and being part of the positive impact that we strive to make on people and the planet. Purpose ING's purpose is empowering people to stay a step ahead in life and in business. This purpose guides us in everything we do. Rather than telling our people what to do, we trust them and encourage them to carve out their career in a way that works best for them. We want to enable them to grow in their own way, without being held down. Because doing great things starts by doing your thing.