Start date: Q1 2024
Duration: 6 months
Type: Suitable for MSc Thesis
Weekly presence: 32-40 hours
Goal of this assignment:
Philips recognizes the potential of utilizing Bayesian statistics to improve the quality of the prediction by actively including prior knowledge into the analysis of test data (prior + test data = posterior). The assignment would focus on ways we could incorporate Bayesian statistics into the development process to allow improved decision making. You will work in the product and user research team and will take part in driving the transformation towards utilization of Bayesian statistics during product development.
Your role:
Investigating the potential and suitability of Bayesian statistics during product development with the focus on user related data sources.
Development of required test method framework, data structures and scripting/software needed for successful implementation of Bayesian statistics.
Responsible for actual implementation and surrounding stakeholder management.
You're the right fit if:
You are studying towards your University Master in: Mathematics, Statistics, Data Sciences or other similar degree.
You have strong data analysis skills and education/experience in the field of Bayesian statistics.
You have affinity with consumer product related test methodologies and the challenges surrounding them.
You are fluent in English language both verbal and written.
IMPORTANT:
Part of our selection procedure is a HireVue Assessment. We are not able to correspond the outcome of this HireVue Assessment but will use this as an extra selection criteria.
Our intern remuneration package:
Notes
Required documents in order for us to continue with your application:
Please note that in order to be considered for an internship, you need to be registered as a student during the entire internship period. Formal documentation of which may be requested at any time. Students from outside the EU need to fill in an NUFFIC agreement, which needs to be signed by the student and the university.
Please note that the contents of our regular internship assignments are not suitable for professionals (and/or MBA students) with professional work experience.