“The problem for AI in Europe is not the money is finding the talent” (Leading European AI practitioner)

Data Science, Data Analytics, and Artificial Intelligence constitute the fastest-growing job market for the very highly qualified.

• Guidance: How do I find out if a career in data analytics or data science is right for me?
• A customizable roadmap for completing the transition in 6 to 9 months
• Tips and tricks on approaching the labor market and hiring managers

Ph.D. and postdoc target participants

Any Ph.D. or postdoc with a numerate background – e.g., STEM, statistics, econometrics – curious about the opportunities in the industry and startups.

Online workshop – Join from anywhere

All attendants receive the link to the online live meeting. After the event, you receive a link to the workshop materials.

Proof-of-concept

• An ongoing event series since 2018 in university towns and online, including repeated collaboration with the Max Planck Society, and the Max Planck PhDNet, Helmholtz Juniors, and the Leibniz PhD Network.
• We have supported >200 data talents with managing the transition and writing an industry-ready CV.
• You can look at the workshop slides prepared for the 2019 N2 conference of the Max Planck PhDNet, Helmholtz Juniors, and Leibniz PhD Network. The slides are available on Slideshare.

Workshop leads

Dr. Macarena Beigier-Bompadre is a founding member of the AI Guild and a Data Scientist at Kenjo. She has 3+ years of industry experience and also trains staff. Earlier she was a Postdoc at the Max Planck Institute for Infection Biology, Berlin.

Dr. Dina Deifallah is a member of the AI Guild and a Data Scientist who enjoys working on business intelligence issues and data analysis issues. She holds a Ph.D. in Communications Engineering from the American University in Cairo.

Dr. Chris Armbruster is head of #datacareer at the AI Guild, Europe’s leading AI practitioner community. Earlier, he was the Director at Data Science Retreat. He helped roll out digital infrastructures for the 80 Max Planck Institutes while also researching postdoc careers.

Workshop structure

Introduction to the online workshop

The objective is to empower workshop participants to pursue a career in the Data & AI professions. A customizable roadmap is offered for a successful transition.

Examples of PhDs transitioning to a career in Data Analytics, Data Science, and Machine Learning

Together, we look at examples of a successful transition from science to data science and start answering your questions.

• What are typical starting points for the transition?
• How large is the opportunity, and what are the requirements for a #datacareer?
• How do you move to the industry, startups, or a consultancy firm?
• What is the outlook for a #datalift in Europe?

The roadmap to getting hired

Together, we query the four essential milestones of the career transition, namely a) exploration of the field; b) domain orientation; c) skills gap analysis and training; and d) career start.

• Roadmap for the transition
• Interactive Q&A via online chat

The industry-ready CV or resumé

Let’s look in detail at examples of industry-ready CVs for Data Analytics and Data Science.

• Examples and stories
• Interactive Q&A via online chat and video

Trends in employment, startups, and industry

Data on job growth, startup funding, and industry trends are presented. Moreover, data on starting and median salaries have also been collected by a variety of independent sources.

• Presentation of data and trends
• Final Q&A via online chat and video

Presentation https://www.youtube.com/embed/kOGGhbGqIaE