Chatbots are not yet commonly used to reduce workload on front and back office employees. In governmental processes still a lot of questions arrive via telephone or even at the service counter by customers directly coming to the desk. Main reasons for this are not yet digitalized processes, law requirements or simply because the customer is not aware of other means.
We generally observe an increasing demand and usage of web content and information. However a lot of governmental web sites are still not intuitive to navigate, the needed information is hard to find and the contained details hard to understand which leads to a lot of questions. Getting answers to these questions is sometimes painful for customers due to limited availability and opening times.
That’s now where chatbots can help out to handle part of that load. On one hand to reduce workload on the other hand to extend service level and provide 24/7 availability for customers with an intuitive user experience.
This internship addresses chatbot integration into eGovernment platforms. It will touch upon multiple domains: from finding use cases that generate business value to implementation over communication to integration and Machine Learning.
In this role
Perform an analysis and identify business cases for a chatbot integration in the road office domain
Asses several existing chatbot solutions and prototypes
Define matching setup and select best fitting technology and tools
Create and work on a prototype that will enhance an existing service with chatbot functionality
Prepare a showcase with the running prototype
What we offer
Join our team as intern and you will find a young, dynamic and culturally diverse working environment.
About your profile
Machine Learning and Natural Language Processing
Interest and knowledge in software engineering and programming
Interest in digital transformation
Programming language: preferably Python 3+, Java
If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
These cookies will identify unique visitors to a website by allocating a random number to identify each user. This number is updated with each page browsed and provides information in particular about the number of visitors, sessions etc.