Data Science Intern

Philips Iberica SAU; Paris; Sur place; EUR 20 000 - 40 000; Plein temps

Résumé du poste

A leading healthcare technology company in Paris seeks a motivated Data Science Intern to support the R&D team. This role involves designing algorithms to enhance diagnostic capabilities using deep learning. The ideal candidate will be pursuing an MSc in relevant fields and have experience with Python and Git. You'll collaborate with a dedicated team of data scientists focused on arrhythmia detection, working on cutting-edge technology to improve patient outcomes.

Qualifications

• Autonomous, committed, and enthusiastic.
• Experience with deep learning and machine learning projects.
• Fluency in spoken and written English, basic French.

Responsabilités

• Design high-performance production-ready algorithms.
• Implement robust validations for the algorithms.
• Use outputs of machine learning models to deliver features.

Connaissances

Python

Git

Deep Learning

Machine Learning

Formation

MSc in mathematics, physics, or computer science

Description du poste

Data Science Intern

Job Description

We are looking for a proactive and motivated Data Scientist intern to join our R&D team who will help us bring diagnosis algorithms to the next level.

Philips-Cardiologs is developing algorithms based on Deep Learning to help physicians to diagnose cardiac diseases. As a Data Scientist intern you will work with a large and complex dataset to improve the performances of our algorithms in production.

Responsibilities

• Design high-performance production-ready algorithms
• Implement robust validations for the algorithms
• Use the outputs of machine learning models to deliver valuable features to our customers

The team

You’ll be working with a team of 6 data-scientists working on developing arrhythmia detection networks for the Philips Cardiologs Holter Platform, our cloud-based arrhythmia diagnostic software.

Qualifications

• Have an autonomous, committed, enthusiastic engineer/creative
• Are Completing a MSc in mathematics, physics or computer science, with a "can-do", and challenging mindset
• Have already worked with Python and Git
• Have worked on previous deep learning / machine learning projects
• Are fluent in spoken and written English, and have at least basic notions in French