Accelerator - Data scientist internship

Key Skills

Aartificial intelligence, AI technology, AWS, Azure, Bayesian networks, Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, Deep Learning, Forecasting, Google Cloud Platform (GCP), NoSQL, Optimization, plotly, PowerBI, Python Programming, R Programming, Scala Programming, SQL, Statistical modeling, Supervised learning, Tableau, Time series, Unsupervised learning

Job Description

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Why joining Sanofi Digital

• Executive sponsorship and governance, with newly appointed CDO & leadership team
• Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)
• Unique diversity of medical & technical challenges, with mobility opportunities
• Awarded “Top Employers France” 2021

And more specifically, why “Accelerator powered by Sanofi”

• A new entity launched March 1st to Become the leading Digital Health platform
• A separate location, in WeWork(Paris 75017), 5 minutes walk away from the future Sanofi HQ location
• Startup-like streamlined processes to ensure delivery speed
• Focused on end-to-end building the most transformative and profitable products

The products we’re working on We are building next-gen health & digital products, Data Analytics and Artificial Intelligence, including Digital Health products improving the patient experience and treatment adherence, through innovative digital products (Software as Medical Devices) Omnichannel products supporting multi-channel engagement with healthcare providers & patients Digital Marketing products optimizing marketing campaign’s reach and impact 

Topic of internship description

In the Omnichannel stream, we are a building a state-of-the-art recommendation engine. The goal is to personalize the content delivered to our audience. We deal with several type of content (articles, videos, webinar…) and the recommendation is based on user and content characteristics, viewing history etc. 

The topic of the internship is to improve this recommendation engine using Machine Learning approaches (supervised learning, collaborative filtering…).

Key Functional & technical Requirements & Qualifications:

• Master's Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline
• Experience with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
• Experience with someof the following areas: supervised learning, unsupervised learning, deep learning, time series forecasting, Bayesian statistics, optimization
• Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML 
• Experience in CI/CD, Orchestrationis a plus
• Experience withcloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
• Knowledge of some visualizationtools (e.g. Tableau, Power BI, Plotly or similar)
• Service-oriented, motivated, positive team player
• Problem solving & critical thinking
• Experience in a healthcare company is a strong plus.