Research goal
As machine learning systems are increasingly used to support decision-making, ensuring fair outcomes has become an important challenge. This thesis will investigate and compare different approaches for mitigating unfairness across the machine learning lifecycle, including data preparation, model development, and prediction adjustment stages.
The research will assess how various fairness interventions affect both model performance and fairness metrics, using representative datasets and practical use cases. The objective is to provide insights into the strengths, limitations, and trade-offs of different techniques, and to develop recommendations for the responsible design of machine learning systems.
Context
At the ING Analytics department we make many types of model predictions about retail and corporate clients where fairness is important and taken into account.
The team
The Wholesale Banking Advanced Analytics (WBAA) department is a large team of data scientists, data engineers, software developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in WBAA furthermore have a strong desire to keep up with and be part of the latest developments in the fields of AI, tooling and statistics. Which they do by working closely together with master’s students on a variety of topics to solve academic yet practical problems.
Our team has extensive experience with student supervision. Are you a master’s student looking for a thesis project and are you interested in this one.
How to succeed
This project is suitable for students interested in machine learning, responsible AI, algorithmic fairness, and applied data science.
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.
To take on this challenging and rewarding opportunity, you’ll need to:
What do we offer?
A master thesis project, a compensation of 700 euros per month, close supervision, and a tight community of data scientists to interact with and learn from.
Rewards and benefits
This is a great opportunity to train with highly skilled people who are experts in their field. You’ll do a lot and learn a lot – not only about your specialist area and the bank, but also about yourself and whether this type of environment is right for you.
You’ll also benefit from:
During the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders).
Disclaimer: Careers in Commodities and the Erasmus Commodity & Trade Centre hold no responsibility for the accuracy of the information presented above. For most accurate and up to date information, refer to the official website of the vacancy offeror.
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