Actionable support for finding a 1st or 2nd role in data analytics, data science, data engineering, machine learning, deep learning, computer vision, and natural language processing. To start a data career, you need to achieve two things. 1. Get invited by companies to an interview regularly. 2,. Get through the interview process and secure an offer - better two offers to have some bargaining power. For you, I am bundling AI Guild insights to help you reduce your search time by half and cost by as much as 90%.

2. #datacareer
“No matter who you are, self-improvement is one of
the most important and most overlooked attributes
of young AI talent. It only takes four years of
experience to become a senior, or five years of
experience to lead. The determination and
discipline to improve both the hard and soft skills
continually will be the deciding factor.”
Jean-François Gagné

3. The fastest growing labor market for the
highly qualified
§ 2020 global labor market
baseline is 500,000 practitioners
§ Numerate graduates from any
discipline are suited
§ Experience with Python, R , and
SQL facilitates smooth transition
§ Increasing specialization for data
roles and domain expertise
§ We have contributed to >400
industry and startup CVs
§ Also supported transition right
after the PhD, as well as postdocs
§ Supported career transition to all
data roles
§ Building the AI Guild platform for
practitioners at datacareer.eu
Key facts Track record

4. Awesome CV feedback. I am
applying, and 50% of the
companies invite me for an
interview. Cheers!
I enjoyed working on the CV
and preparing the
interviews. In the end, I had
the luxury to choose
between 2 job offers.
Oliver Kaul
Ana Mikler
Really happy
about the
experience and
the way it is
helping me land
more interviews.
Richa Sharma

5. 5
Dr. Chris Armbruster
Head of #datacareer, AI Guild
Former Data Science Bootcamp director
Alumnus
Max Planck Society (MPDL)
European University Institute
Jean Monnet Fellow
Lancaster University, UK
LinkedIn

6. Highlights in 2020
MPI for Radioastronomy, Bonn
“Science to Data Science: PhDs and postdocs moving to
industry and startups”
Zoom event on 24 April with Dr. Chris Armbruster
IMPRS-gBGC and IMPRS-CE, Jena
“From Scientist to Data Scientist”
Zoom workshop on 15 June and 21 August with Dr. Dina
Deifallah, Kirstin Taufertshöfer, and Dr. Chris
Armbruster
Max Delbrück Centrum for Molecular Medicine, Berlin
“Empowering PhDs and postdocs to start a #datacareer
in the industry, startups, and consultancy”
Zoom workshop on 04 December with Dr. Dina
Deifallah, Dr. Macarena Beigier, and Dr. Chris
Armbruster
Max Planck Society Career Steps 2020
“Data roles in industry for PhDs: Is a role as data analyst,
data scientist, or data engineer best for me?”
Cisco WebEx on 15 October with Dr. Lisa Heße, Dr.
Macarena Beigier, and Dr. Chris Armbruster
“From Science to Data Science: PhDs and postdocs
moving to startups and the industry “
Cisco WebEx on 05 November with Dr. Paul Elvers and
Dr. Chris Armbruster
“Leaders reflecting on key trends in data careers and the
application of data analytics and machine learning”
Cisco WebEx on 19 November with Dr. Marija Vlajic
Wheeler, Prof. Dr. Patrick Baier, and Dr. Chris
Armbruster

7. Think of him or her as a hybrid of data hacker, analyst,
communicator, and trusted adviser. The combination
is extremely powerful—and rare.
FLASHBACK <<<<<

8. Global AI talent pool
JF Gagné: Getting the Needed Talent Along the AI Value Chain
(Data for 2020)
>>>>>No of practitioners in 2020

9. Which data role is for you?
AI Career Pathways: Put Yourself on the Right Track
By WORKERA, a deeplearning.ai company

10. It is not just AI, there is more…
Dynamics of data science skills.
How can all sectors benefit from
data science talent?
Report from the Royal Society,
UK

11. Your
challenges
1. Job seekers struggle to frame their skillset.
2. You have little or no relevant industry or
domain experience.
3. Companies sometimes prefer upskilling
current employees.
4. Employers are not (yet) very good at hiring
matching talent.

12. Watch out for career transition costs
A mismatch with your next role
and too low or missed income
may cost you €10,0000 or more.
Your search time, possible
unemployment, and getting the
offer on the table may be too
long.
Upskilling with online courses,
bootcamps, and university
courses (+ living expenses) may
be up to €20,000.
Opportunity Personal Out-of-pocket

13. Three critical questions for you…
Which data role is your
best choice?
At what type of
company do you want
to work?
Which domain or
industry is yours?

14. Your
strategy
1. Use online information and events, e.g., at
datacareer.eu
2. Discuss your strategy with friends, colleagues.
Perhaps also with fellow practitioners in the AI
Guild.
3. Use the AI Guild to validate your CV and
search strategy.

15. Which data role is your
best choice?
What company type do
you want to work in?
Which domain or
industry is yours?

16. The AI Guild Validated CV (paid service) gets attention from
hiring managers and companies looking to recruit talent.
• We vet your technical skills and data experience and advise
on a matching data role and industry.
• You get a 1-on-1 interview and writing support.
• The validated CV carries the AI Guild imprimatur.
The Validated CV

17. Your
savings
1. If you come to the AI Guild first, then you
reduce your search time by half or more.
2. If you do the validated CV first, you reduce
your out-of-pocket expenses and opportunity
costs by 90% or more.
• Avoid unemployment.
• Do online certificates only if technical upskilling is
essential.
• Avoid an expensive career transition with teaching
unless you have a return on investment.

18. Four elements of the Validated CV
Get considered by
highlighting your
technical skills
Be invited for
interview by
demonstrating your
business skills
Lead on the
interview by
telling your data
experience
Focus your search
with a
professional
mission

26. Data project
pyDentate – A neuronal network model.
Unlike artificial neural networks, biological neural
networks process information by transmitting binary
signals called action potentials. pyDentate is a
computational network model that simulates action
potentials in a complex network architecture featuring
feedforward and feedback inhibition.
It models a brain area called the dentate gyrus, and we
used it to study network mechanisms of memory and
spatial navigation. Other neuroscientists now use it to
study the same brain area.

27. Data vignette
Research Data Scientist. Using Python & Bash to wrangle
and analyze 70+ TB of simulation data from IPCC models.
Using a new ridge-regression algorithm I developed, I led
a study solving the 18-year-old problem of systematically
quantifying interactions between climate change and the
global carbon cycle.

28. “I am a data scientist with deep domain expertise in
economics and statistics. My focus is on e-commerce, and I
am particularly interested in recommender systems.”
“I am bringing machine learning skills to the energy industry to
help decarbonize the supply of heat and electricity.”
“I continually invest in improving my production capability through
training and new challenges. I have been up skilling to Data Science
based on my experience in large-scale IT and data infrastructure.”

29. Search and mission statement
I am a Data Scientist with a Ph.D. (2020) focused on regularization
theory & optimization. I have 4+ years of experience in data
processing and modeling. I am looking for a new challenge in
Barcelona, Madrid, or Lisbon from October 2021, preferably in a
leading business team mitigating climate change and reducing the
carbon footprint.

30. Search and mission statement
I am a Data Analyst with 6+ years of experience in the automated and
manual data processing. I have been using Python packages for 3+
years to interpret the properties of organic and biological molecules.
From September 2021, I am looking for a position in Germany or the
UK, ideally in a pharmaceutical, chemical, or MedTech company.

31. You
How you get a Validated CV
• Submit your current CV, ideally
including the four elements.
• Use the feedback provided by
interview, email, and voice
messaging to write improved
versions.
• Edit and finalize your CV.
• Assess your CV and benchmark
against existing CVs.
• Deliver two 1-on-1 sessions to
build your CV, and provide further
feedback by email or voice
message.
• Validate your CV.

32. Your
benefits
• Independent feedback on your skills level and
the best career choice.
• 1-on-1 sessions push you to produce the best
possible CV.
• A validation by Europe’s leading practitioner
network makes your CV stand out.
• Get seen by 100+ hiring managers that are AI
Guild members.
• Achieve more interviews for roles that you care
about.

33. Start at datacareer.eu/validated-cv
Technical skills Business skills Data experience Mission statement
A) Pay €357 with you first salary (€300 + VAT).
B) Pay €238 upfront (33% saving).