Scientist
Pubblicato il 29-08-2026 - Altro in Roma
Data Prestige is an artificial intelligence company that is helping Italian enterprises transform for the age of AI. We are applying AI to multiple industries, starting from manufacturing, agriculture and healthcare. This is a chance for you to get in on the ground floor of an exciting AI company.
As a Data Scientist, you will evaluate and improve Data Prestige 's products and solutions. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation and development for our clients in the Manufacturing, Aerospace & Defence, Fashion Retail, Government Sector, Healthcare. By joining Data Prestige , you will work with an Engineering teams to define and build powerful AI products and solutions. With Data Prestige , you will have the opportunity to work for deploy and scale AI Model into different industries and work with us to unlock the economic impact behind AI adoption.
Here's what you'll do:
Work with large, complex data sets. Solve difficult,
non-routine analysis problems, applying advancedanalytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensiveknowledge of data structures and metrics, advocating for changes where needed for product and solution development.
Interact cross-functionally, making business recommendations (e.g., cost-agevolazioni, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholdersthrough visual displays of quantitative information.
Research and develop analysis, forecasting, and optimization methods to improve the quality of Data Prestige products and solutions.
Here's the background we would like you to have:
Master's degree in a quantitativ