We are looking for an intern to help the Data Science team transform access to healthcare!

You will join the Data Science team, which supports the product and business teams in creating the healthcare platform of tomorrow.  

An important point at Doctolib: the data is entirely encrypted and anonymised.

Missions

The Data Science team is currently organized in two parts: 

• Delivery teams: teams of data scientists working closely with the business and product teams. They are integrated into the product/business teams to understand their needs and design the best data science solution. 
• Scaling team: team of data scientists, devops and software engineers setting up processes and tools in order to allow data scientists to put their models quickly into production. They ensure that all data scientists work with the same tools and with the same best practices. 

The Data Science team is currently offering two internship opportunities: one on the delivery side and one on the scaling side. 

If you are more interested in using your technical skills to address business issues and interact with business teams, the delivery position is for you. If you're more of a technical person and interested in learning the full range of MLOps best practices, the scaling position is for you.  

Our stack

• Environment: AWS including SageMaker, Lambda, Step Functions
• Languages: Python, SQL, Terraform

Your skills

You could be our next teammate if:

• You are in the last year of your degree : Bac +5 / Engineering school with a major in Statistics / Data Science / Computer Science 
• You have experience and knowledge of statistics / machine learning
• You have experience and knowledge in Python, SQL and Shell scripting
• You are fluent in English and French
• You have a good team spirit 
• You are curious and like to learn new skills and take on new challenges 
• You are well organised and can make suggestions

Job details

• Internship of 6 months 
• Full Time
• Levallois Docto Campus
• Start date: ASAP
• Hybrid (3 days remote / 2 days at the office)