AI Skills for Data Science Teams (2026) | Future of Data Science Careers @weareceu

Uploaded January 2026 | Updated September 2026, 2 weeks ago

What skills do you need to succeed in the AI era as a data scientist?

In this roundtable discussion, experts from industry and academia explore the most important AI skills for data science teams, how workflows are changing with generative AI, and what students and professionals should learn to stay competitive in the next 3–5 years.

You’ll hear insights on:
- The top skills for data scientists in the AI era
- How AI is transforming data science roles and workflows
- Why critical thinking, communication, and domain knowledge matter more than ever
- The balance between technical skills vs. business understanding
- What students should focus on to build a future-proof career in data science

This discussion features speakers from leading organizations including IBM and AI Factory Austria, sharing real-world perspectives on how AI is being applied in business today.

This session is part of the Data Analytics Jamboree hosted by the Department of Economics at Central European University (CEU) and the Vienna Data Science Group—bringing together data scientists, engineers, analysts, and students for an exchange on AI-driven business solutions and data science careers.

Learn more about the MS in Business Analytics program at CEU:
https://www.ceu.edu/academics/degrees/ms-business-analytics

About CEU
Central European University (CEU) is a research-focused university offering a wide spectrum of interdisciplinary undergraduate and postgraduate degrees in the heart of Europe. Our ever-growing international community of students, alumni, permanent and visiting faculty and program partners enables you to challenge conventional wisdom, explore diverse perspectives and critically examine the biggest challenges of the 21st century.
Central European University is an institution of advanced research and teaching, dedicated to socially and morally responsible intellectual inquiry.

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Timestamps
00:00 Introduction & context of the discussion
01:50 Meet the panel: AI engineers, consultants & experts
04:20 How AI is changing workflows in real companies
07:00 AI as a strategic asset (not just a tool)
10:50 Data, compute & talent: Europe’s AI landscape
12:05 Most important skills in the AI era
13:40 Why critical thinking and math still matter
16:00 Human skills vs AI: what machines can’t replace
19:00 Tasks becoming obsolete (automation & repetition)
22:20 Future outlook: skills for the next 3–5 years
24:50 Learning how to learn & prioritizing skills
26:00 Specialization vs generalization in data science
27:00 Is coding still relevant in the AI era?
29:30 What is the real value of a university education?
33:30 Audience Q&A: AI, society & data ethics
37:00 Does AI reduce human intelligence?
41:00 Breaking into data science careers
44:30 Domain knowledge vs technical skills debate
48:10 Closing remarks & networking

#seeuatceu #DataScience #ArtificialIntelligence #AISkills

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