Our Global Careers Calls to employers, current students and alumni of the University of London uncovers the stories behind a range of careers and industries from around the world. These episodes provide insights into professional journeys, as well as tips to get into your chosen industry and much more.
The views expressed during these podcasts are purely those of the contributors at the time of broadcast, and do not necessarily reflect the views of the University of London.
To listen to previous episodes and find further resources by our team visit www.london.ac.uk/careers
Follow us on LinkedIn: www.linkedin.com/company/university-of-london-careers-service
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Our Global Careers Calls to employers, current students and alumni of the University of London uncovers the stories behind a range of careers and industries from around the world. These episodes provide insights into professional journeys, as well as tips to get into your chosen industry and much more.
The views expressed during these podcasts are purely those of the contributors at the time of broadcast, and do not necessarily reflect the views of the University of London.
To listen to previous episodes and find further resources by our team visit www.london.ac.uk/careers
Follow us on LinkedIn: www.linkedin.com/company/university-of-london-careers-service
Hosted on Acast. See acast.com/privacy for more information.
In this episode, we speak with Achilleas, a life scientist and current MSc Data Science student specializing in artificial intelligence, calling from Athens, Greece. Achilleas shares his career journey from completing his undergrad, postgrad, and PhD in the UK to working in large corporations like IQVIA and Pfizer. He discusses his ambitions to specialize and generate his own AI tools tailored for the pharmaceutical industry and highlights the importance of continuous learning. Achilleas also touches on the skills needed in data science, such as emotional intelligence and problem-solving, and the challenges and opportunities posed by rapid developments in AI
Key points:
[02:22] Career Journey and Current Role
[03:24] Future Ambitions and AI Specialization
[04:23] Impact of MSE Data Science Program
[05:07] Challenges in Career Development
[05:57] Advice for Aspiring Data Scientists
[06:35] Essential Skills for Data Science
[08:07] Transdisciplinary Approach in Data Science
[09:29] Future of Data Science and AI
[12:09] Using AI in Day-to-Day Work
[13:15] Personal Qualities for Career Development
[15:16] Final Advice for Students
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