Data Scientist - Internship

Dettagli della offerta

Join us today and make a difference in people's lives! We are offering an Internship opportunity to talented candidates in the Data Science area in our Milan office.
In this role, you will have the opportunity to gain hands-on experience in data science, artificial intelligence (AI), and machine learning. You will collaborate with cross-functional teams to apply statistical techniques, develop machine learning models, and integrate AI-driven solutions into clinical trials and medical strategies.
You will be part of LivaNova, a global medical technology company, worldwide leader in cardiovascular and neuromodulation solutions. With almost 3,000 colleagues in more than 100 countries, we are facing a steady commercial growth to help create products and therapies that transform people's lives.
Duties and Responsibilities The program will provide education and hands-on training in data science, dashboarding, data visualization, and advanced analytics in real-world medical device projects, ensuring alignment with healthcare regulations. The trainee will execute cross-functional activities to ignite LivaNova medical excellence.Assist in developing and enhancing dashboards to support NLP and AI capabilities.Provide infrastructure support, focusing on the deployment of data-driven projects.Contribute to R&D initiatives, with a particular focus on physiological control loops.Collaborate with senior Data Scientists in validation activities.The Individual Degree in Biomedical Engineering, Biotechnology, Statistics, Biostatistics, Pharmacy, or any other STEM field.Good knowledge of programming languages like Python or R; SAS would be an advantage.Fluency in English (mandatory).A detail-oriented individual with a methodological and accuracy-driven approach.Willingness to work in a collaborative environment with a global team.Our commitment to Diversity & Inclusion: LivaNova values equality and celebrates diversity. We are committed to ensuring that our recruitment process is fair, transparent, and free from unlawful discrimination.

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