he Data Scientist hired will be responsible for scoping, developing, validating, and documenting Agentic AI solutions which will form the core of products which ING Analytics Wholesale Banking (INGA-WB) develops for ING. This will also include carrying out world-class Research and Development where appropriate to arrive at a solution, as well as potentially guiding and mentoring more junior members and STAs or Masters students (though this person will not be a line manager).
ING Analytics Wholesale Banking is a department formed of four Chapters (Data Science, Data Engineering, UX, and Product Management) which has roughly 100 full-time employees, and which focusses on building algorithmic 10x data-driven products that benefit our clients and generate revenue for the bank.
The team
ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector. The ING Analytics group is a major driving force in ING’s transformation, aimed at helping us to become a data-driven organization, where advanced analytics is at the heart of our business processes.
Roles and responsibilities
Develop an expertise in applying Agentic AI techniques for performing automated tasks in the KYC domain, such as data extraction from documents, completeness and reliability assessments, context engineering and optimisation, etc.
Other project include: machine and representation learning, entity resolution, and network & graph applications.
Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.
Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.
Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.
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.
Proven experience in working with Agentic AI and LLM techniques.
MSc or PhD with excellent academic results in the field of Mathematics, Physics, Computer Science, Engineering, Econometrics or similar.
You have at least 1+ years (Junior) or 3+ years (Medior) of work experience in the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products.
Programming Languages: proficiency in Python is required
You are able to explain complicated subjects clearly
You are friendly and approachable with good humor and personality
You are motivated to keep on top of the latest developments
You have good knowledge of a wide range of machine learning algorithms, ranging from more classical econometric models to cutting-edge neural networks and can match them to business problems
You are a team player who strikes effective balance between independence and acting in the interest of 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.
Skills Required
- MSc or PhD in Mathematics, Physics, Computer Science, Engineering, Econometrics or similar
- At least 3+ years of work experience in Data Science
- Proficiency in Python
- Proven experience in Agentic AI and LLM techniques
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
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