Applied LLM Data Scientist

Job Summary

As an Applied LLM Data Scientist at ING Nederland, you will play a pivotal role in embedding Generative AI solutions into real business processes. This position involves moving beyond pilots to ensure robust integration and sustainable value delivery across initiatives, from initial design and experimentation to strengthening existing applications.

You will collaborate closely with engineers, product teams, and stakeholders to operationalize GenAI. Your responsibilities will span agent evaluation, prompt optimization, guardrails, LLMOps, and managing golden source data, all aimed at building trustworthy, scalable, and impactful AI solutions.

The Team: Tribe Growth

The Tribe Growth team orchestrates customer relationships, aiming to accelerate ING's transition to a data-driven organization and become the leading mobile-led bank in Europe. Comprising over 70 data analysts and scientists, the team works in multi-disciplinary groups, acting as data consultants both internally and externally. ING promotes diversity, encouraging applications from candidates whose profiles may not perfectly match but demonstrate potential and align with the description.

Roles And Responsibilities

• Own GenAI solutions from early experimentation through production, ensuring robust embedding in business processes and sustainable impact.
• Lead the transition from GenAI pilots to production-ready solutions, creating measurable business value.
• Develop and improve GenAI applications, including agents and LLM integrations, focusing on reliability, performance, and long-term usability.
• Evaluate and monitor GenAI behavior in production, covering prompt performance, agent quality, and ongoing model validation.
• Embed GenAI solutions into existing business processes to drive adoption, trust, and real-world impact.
• Ensure GenAI applications meet risk, compliance, and governance requirements, including guardrails and responsible AI practices.
• Advise and influence technical and non-technical stakeholders on the effective and responsible use of GenAI to maximize impact.

How To Succeed

ING values curiosity, continuous learning, and taking on responsibility. Candidates are expected to have:

• An MSc or PhD in a quantitative field such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or equivalent practical experience.
• 4 or more years of relevant hands-on experience in AI, with a broad and in-depth understanding of core algorithms and methods.
• Strong experience writing clean, readable, well-documented, and efficient Python code suitable for production environments.
• Proven hands-on experience with GenAI systems, including agent frameworks (e.g., Google ADK), prompting, RAG, evaluation, LLMOps, and building golden source data.
• Solid data analysis skills using SQL and tools such as PySpark, BigQuery, or similar, coupled with the ability to articulate findings clearly to stakeholders.
• Experience collaborating effectively in cross-functional Agile Scrum teams, with openness to feedback and continuous growth.

Rewards And Benefits

ING supports a healthy work-life balance, offering a comprehensive benefits package including:

• 25-28 vacation days, depending on contract.
• Pension scheme.
• 13th month salary.
• 8% Holiday payment.
• Hybrid working arrangements.
• Opportunities for personal growth and challenging work with endless possibilities.
• An informal working environment with innovative colleagues.

About ING

Discover how ING empowers people and businesses to move forward by visiting their website.

Key skills/competency

• Generative AI
• LLM Integration
• Data Science
• Python Programming
• LLMOps
• Prompt Engineering
• RAG (Retrieval Augmented Generation)
• SQL
• BigQuery/PySpark
• Agile Scrum