Data Science Intern
Philips
Data Science Intern
Job Description
Job Title
Data Science InternJob 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.
You will :
- 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.
You’re the right candidate if you
- 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
Locations
- Paris, Paris, France
Salary
25,000 - 45,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Gitintermediate
- Deep Learning / Machine Learningintermediate
- Algorithm designintermediate
- Robust validationsintermediate
- MSc in mathematics, physics or computer scienceintermediate
- Fluent English, basic Frenchintermediate
Required Qualifications
- Completing MSc in mathematics, physics or computer science (experience)
- Previous deep learning/machine learning projects (experience)
- Autonomous, committed, enthusiastic mindset (experience)
Responsibilities
- Design high-performance production-ready algorithms
- Implement robust validations for algorithms
- Use machine learning model outputs to deliver features to customers
Tags & Categories
Answer 10 quick questions to check your fit for Data Science Intern @ Philips.
Data Science Intern
Philips
Data Science Intern
Job Description
Job Title
Data Science InternJob 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.
You will :
- 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.
You’re the right candidate if you
- 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
Locations
- Paris, Paris, France
Salary
25,000 - 45,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Gitintermediate
- Deep Learning / Machine Learningintermediate
- Algorithm designintermediate
- Robust validationsintermediate
- MSc in mathematics, physics or computer scienceintermediate
- Fluent English, basic Frenchintermediate
Required Qualifications
- Completing MSc in mathematics, physics or computer science (experience)
- Previous deep learning/machine learning projects (experience)
- Autonomous, committed, enthusiastic mindset (experience)
Responsibilities
- Design high-performance production-ready algorithms
- Implement robust validations for algorithms
- Use machine learning model outputs to deliver features to customers
Tags & Categories
Answer 10 quick questions to check your fit for Data Science Intern @ Philips.