Siemens Female Data Science Network
Solve Exciting AI Challenges at our Virtual Hackathon
Explore the world of Artificial Intelligence within one of the global industry leaders and address exciting AI challenges impacting future needs - 48h | 4 Challenges | 20 High Potentials
Join the Siemens Female Data Science Network in tackling challenges of tomorrow’s industries and business practices. Entering our journey enables you to work with industry experts, provide your expertise and explore new horizons together. This is your opportunity, so come join our network and start hacking.
Experience the best combination of your enthusiasm and expertise in AI together with innovative Siemens departments and specialists. Starting on the 22nd of September 2021, we will take you on a two-day journey of exploration and deep dive into different AI activities to give you the insights you need to tackle a specific use case within one of our four challenges.
Exciting opportunities ahead: Join us in solving the industry’s most pressing challenges! You decide where to start!
Challenge #1 Delivery Forecasting, Workflow Automation and Visualization with Knime
Our business unit “Motion Control” is looking for a team of highly skilled participants aiming to create an improved forecast of their delivery times and their revenue. Tracking and monitoring these crucial performance indicators on a weekly basis – fully automated and visualized using KNIME – will be your task in this exciting environment. #KNIME
Challenge #2 Campaign Performance Model
Which variables have the highest impact on campaign performance? And which assets will yield the best results? Support our campaign team in solving these pressing questions by developing a campaign performance model using numerical and categorical data and applying explorative and predictive analytics. #python
Challenge #3 Automatic Text Simplification
Company agreements are an important source of information for Siemens employees. Being an international and inclusive company, it is important to ensure that the information is accessible to all the employees regardless of their language proficiency. This challenge is the perfect fit for you if you are keen on working on automatic detection of poorly readable text segments and their simplification in company agreements. #python #gpt-3 #NLP
Challenge #4 Low Resource Named Entity Recognition
NER is a fundamental NLP task and is an indispensable part of many NLP pipelines. Off-the-shelf NER tools rarely satisfy the needs of narrow technical domains and training a domain-specific NE tagger demands a large amount of manually annotated data. You will be using bootstrapping techniques and state-of-the-art deep learning methods to ultimately develop a NE tagger under a condition of annotated data sparsity. #python #NLP
CFO of Customer Services in Siemens Digital Industries
Dr. Michael May
Head of the Siemens Technology Field Business Analytics & Monitoring
Dr. Ariane Sutor
Head of Innovation Accelerator "Zero Engineering" in Siemens Digital Industries
Founding Partner Venture Capital Fund (in stealth)
We Are Looking For:
We are looking for dedicated data enthusiasts, hackers, coders, and entrepreneurial thinkers, who want to develop innovative and creative ideas and find digital/ AI solutions for the industry’s most pressing challenges.
We are looking for female students / PhD students:
Who already gained some practical experiences,
Who are studying math, physics, data science, business studies or a similar study program
Who have experience in analytics and/ or coding (Python/ R)
If you identify yourself as a highly motivated individual with creative thinking and an interest in solving problems, testing concepts, and expanding your horizons, we look forward to hearing from you!
The winning team will receive a cash prize of 1,000 €. In addition, every participant will get a Rasberry PI Entry Bundle.
Coaches & Speakers
Automation Expert & Coach @ Data Visions
Data Scientist @ Data Visions
Challenge #3 #4
Data Scientist & NLP Specialist @ Siemens IT Analytics Lab
GIZ Data Lab
“No gender equality without data equality” - A call for action to close gender data gaps in AI and beyond.
GIZ Data4Development Team
Junior Data Scientist
Annika Wagner will share insights from her personal career path as a Data Scientist.
Siemens Female Data Science Network
"Why is there a “Female Data Science Network” at Siemens? Because we show how connecting data-driven minds in diverse teams leads to great results and makes for a fun working environment!"
Dr. Ulrike Dowie, Dr. Sylvia Endres
Siemens Female Data Science Network
What topics will I work on?
Depending on the track that you are joining, you will dive deeper into the respective topic. Our tracks feature a broad range of different fields, like delivery forecasting, workflow automation, visualization, performance modelling, automatic text simplification, low resource named entity recognition and more... You can choose your track depending on interest and expertise.
Who can apply?
If you are a (preferably master or PhD) student, intern, young professional, university employee or any other AI expert with experience in any of the following fields you are very welcome to join:
machine learning / deep learning,
natural language processing,
explorative & predictive analytics
time series analysis & forecasting,
Depending on the track you apply for you should bring at least some of the relevant expertise to the table. We will select the final round of participants depending on skill level. Siemens employees who want to participate in the hackathon outside of work can - of course - join us as well.
When will the hackathon take place?
The kick-off event will take place on the 22nd of September 2021 at 5 p.m. After that, you’ll have time till the 24th of September to elaborate on your challenge. The final presentations will start on the 24th of September at 5 p.m.
What is the setting?
The hackathon will take place virtually. However, if you want to work physically, you’ll be able to get a room at the Siemens Headquarter in Munich / Siemens AI Lab. Just contact us beforehand via firstname.lastname@example.org.
What does the application process look like?
This hackathon is an application-only event. Please apply via our website, we will screen each application thoroughly. Our decision is based on your expertise as well as a fit to the track and the rest of the team. We will let you know by September 15th if you’ll be part of this amazing opportunity. We have limited space, and if we do not choose you – please don’t worry, you can still become part of our AI community later on and join future hackathons.
How can I find a team?
It’s easy to participate and find a team. For each challenge there will be a team with other awesome people based on your interests and skills. If you don’t have a team yet, just apply and choose your preferred challenge. If you already find possible team members before you apply, just let us know who you would like to be in a team within your application.
What data and tools can I work with?
That’s the amazing part – our experts will provide you with everything that is needed for each challenge! Therefore, the data and tools that we provide depend on the specific track you’ll join. If you have suggestions about other useful tools that should be hosted locally, please let us know!
What will be the outcome of my work?
On Friday (September 24th) at 5 p.m., you will present the final results of your work to our jury in a 10-minute pitch. For this, we highly encourage a code-first mindset – so your presentation should emphasize on the proof of concept, the visualization or the software products of your project and keep the slides at minimum. Of course, we will announce a winner, and there will be prizes.
What do I need to bring?
Just bring your laptop and a happy hacking attitude.
How and by whom are the results evaluated?
A jury of business and technology experts from Siemens will evaluate your solution, based on innovativeness and maturity (working code, technological achievement, user interface, …) and will nominate a winning team.
Can I win anything?
Of course: There will be prizes worth EUR 3,000. The winning team will receive a cash prize of 1,000 €! In addition, every participant will get a Rasberry PI Entry Bundle.
How does Siemens ensure the confidentiality of the internal data on which the challenges are based?
In this hackathon you will have the opportunity to contribute to impactful industrial AI applications, all of which are based on real data from Siemens and our customers. Since this data is confidential and not intended for external publication, we will kindly ask you to sign a non-disclosure agreement as you begin working on your hackathon challenge. For detailed information about licenses and rights, please refer to our Terms & Conditions.
If you have further questions, write us an old-fashioned email and we'll make sure to reach out to you asap: email@example.com