Machine Learning for Portfolio Management internship | Neuchâtel, Switzerland | Philip Morris International Inc.

Position:	Machine Learning for Portfolio Management internship
Institution:	Philip Morris International Inc.
Location:	Neuchâtel, Switzerland
Duties:	In connection with our transformation, we started to use a new “Portfolio and Project Management” tool, allowing us to manage the schedule, people allocation and financials for each project in our portfolio. This generates valuable data, which now can provide historic knowledge about our initiatives, as well as trends and forecasts. The idea of the internship is to use at maximum the data available, for example: Ensure data cleaning and check them through automation (data quality); Use these data for forecasting and scenario making
Requirements:	Theoretical and practical knowledge of AI and deep learning and ability to create dedicated AI algorithms, exception reports and trend reports; Big picture mindset and still focus to details; Understanding/Experience of Project Management would be a plus

Text:	Machine Learning for Portfolio Management internship In connection with our transformation, we started to use a new “Portfolio and Project Management” tool, allowing us to manage the schedule, people allocation and financials for each project in our portfolio. This generates valuable data, which now can provide historic knowledge about our initiatives, as well as trends and forecasts. The idea of the internship is to use at maximum the data available, for example: Ensure data cleaning and check them through automation (data quality); Use these data for forecasting and scenario making Theoretical and practical knowledge of AI and deep learning and ability to create dedicated AI algorithms, exception reports and trend reports; Big picture mindset and still focus to details; Understanding/Experience of Project Management would be a plus