Applied LLM Data Scientist
As an Applied GenAI Data Scientist, you will work at the heart of bringing GenAI into real business processes, ensuring solutions move beyond pilots and are robustly embedded where they truly make a difference. You will contribute to initiatives that range from early design and experimentation to strengthening, evaluating, and integrating existing GenAI applications so they deliver reliable and sustainable value.
Working closely with engineers, product teams, and stakeholders, you will focus on making GenAI work in practice. From agent evaluation and prompt optimization to guardrails, LLMOps, and golden source data, your work will help ensure AI solutions are trustworthy, scalable in use, and built to support long term impact.
The team
Tribe Growth orchestrates the total relationship throughout a customer’s lifetime. With over 70 data analysts and scientists, we accelerate the transition towards becoming a fully data-driven organization and becoming the best mobile-led bank on the continent. We work in multi-disciplinary teams, allocated as data consultants both internally and externally to our tribe.
At ING we promote diversity and want to make our teams a reflection of our world. If you recognize yourself in the description below, but your profile doesn't match the job description 100%, don't hesitate to apply.
Roles and responsibilities
You will own GenAI solutions from early experimentation through production, ensuring they are robustly embedded in business processes and deliver sustainable impact.
- Leading the transition from GenAI pilots to production ready solutions that create measurable business value
- Developing and improving GenAI applications, including agents and LLM integrations, with a focus on reliability, performance, and long term usability
- Evaluating and monitoring GenAI behaviour in production, including prompt performance, agent quality, and ongoing model validation
- Embedding GenAI solutions into existing business processes to ensure adoption, trust, and real world impact
- Ensuring GenAI applications meet risk, compliance, and governance requirements, including guardrails and responsible AI practices
- Advising and influencing technical and non technical stakeholders on the effective and responsible use of GenAI to maximise impact
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. In return, we’ll back you to develop into an even more awesome version of yourself.
- 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 the field of 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 for example 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, combined with the ability to tell a clear story with data to explain findings and convince stakeholders
- Experience collaborating effectively in cross functional teams, working in an Agile Scrum environment, and openness to feedback and continuous growth
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.
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