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Analysis of different types of networks such as social, financial or biological networks, has become a necessary tool for many organizations as the world has become more interconnected in the last decade. This led to the introduction of dedicated software for network analysis. There have been efforts in the same direction also within ABN AMRO Bank. Now, we would like to extend our capabilities in this direction by applying network analysis to a use case that concerns our collaborations with academia.
By establishing key partnerships for educational, research and resourcing purposes, we hope to create value in building up knowledge that will allow for innovation and new business opportunities. In order to discover the value of such a relationship ABN AMRO has launched a project that aims to investigate:
The university collaboration and Internship office teams require the tools to ensure spot innovation and more effective collaboration with universities by closely monitoring the scientific literature published. Ideally, the first tool will allow us to associate academic subjects with Dutch university professors who have expertise in them and also indicate the level of expertise. The second tool must be able to discover information on recent publications on cutting-edge topics that are relevant for the bank.
Input: data from university webpages, bibliometric data (e.g. citations), citation networks and other relevant data sources.
Desired output: Rankings of professors and universities by level of expertise on different subjects
Requirements: Python, collaborative filtering, network analysis (citation networks), text mining (webpages), NLP, web scraping
The DS-CoE-CADM team is positioned as a bank-wide Centre of Expertise for Data Science within CADM. The team provides additional expertise to other data science teams across the bank and delivers a wide variety of use cases. The team consists of 17 data scientists with diverse academical backgrounds and expertise in a machine learning related subjects. It’s a multicultural team with diverse nationalities. Member’s expertise include Computer Vision, Natural Language Processing, Automated Speech Recognition, Deep Learning, and Network Analysis. The team leverages a wide variety of multimodal data, including transaction-, economic-, visual-, textual- and audio data. This is used for a wide variety of use cases, to improve the customer experience, automate decision making, detect financial crime or innovate business models.
If you are confident about becoming a valuable member of our team, apply right away! And don’t forget; a well thought-out, structured CV and motivation letter can make you stand out from the crowd!
We are looking forward to get to know you!
Any doubts, questions or compliments for us? Get in touch via email (firstname.lastname@example.org), phone (020-3433443) or WhatsApp (+31 06 831 53373)
Please Note: If you are not an EU-resident you need a valid working permit or a standard internship agreement if you are a non-EU/EEA student.
The success of our organisation depends on the quality of our people and the ideas that they have. Truly surprising insights and innovative solutions for our clients result from an interplay of cultures, knowledge and experience. Diversity is therefore extremely important to our organisation. To ensure that everyone at ABN AMRO can develop their talents, we encourage an inclusive culture in which all colleagues feel engaged and appreciated.