AI in Action E121: Nimit Jain, Head of Data Science ACOE at Novartis


Welcome to episode 121 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.

Today's guest is Nimit Jain, Head of Data Science with the Analytics Centre of Excellence at Novartis. Novartis are reimagining medicine to improve and extend people’s lives. As a leading global medicines company with products reaching nearly one billion people globally, Novartis use innovative science and digital technologies to create transformative treatments in areas of great medical need. 

With years of experience in applying innovative analytics techniques in complex environments working with Big Data, Nimit is responsible to establish and grow a Data Science team to be multi-disciplinary and globally aligned with Novartis strategy. He also supports and leads initiatives to establish new capabilities and skills in the broader IT organization focusing on the intersection of data, technology and science.

In the show, Nimit will tell you about:  

His Data Science journey before joining Novartis 

The exciting work going on within Data Science at Novartis  

The importance of Data Modeling in the Pharmaceuticals industry 

What he looks for when hiring Data Scientists 

Advice to Data Scientists starting their career 

New trends and challenges he is seeing in the marketplace 

To find out more about Nimit and his work at Novartis, check out the website or follow them on Twitter @Novartis. You can also connect with Nimit on Linkedin.

What did you make of Nimit's podcast? Where do you see the future of AI & Data Science in the Healthcare sector heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

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