Join Switzerland's
largest Machine Learning hackathon!

Are you ready to take on a challenging Machine Learning problem? Join 150 students at this year's edition of the Analytics Club Datathon, running from May 5th to 7th. This is a great opportunity to network with like-minded individuals while sharpening your skills. Don't miss out on the chance to be a part of this exciting event!


Challenge Sponsors

We're gearing up for an exciting Datathon, and we want to make sure that all teams have an equal chance to succeed. To keep things fair, we'll be announcing the challenges shortly before the start of the event. But don't worry, we will still give you a hint by sharing who our challenge sponsors are! And here's even better news: the winning teams will receive a total funding of CHF 10000! So start assembling your team and get ready to tackle some exciting data challenges!

Challenges from 2022

Last year's hackathon featured a diverse range of challenges that challenged participants to develop innovative solutions to real-world problems.

Challenge 1: D ONE

Challenge 1 was presented by WinJi, a Zurich-based startup that offers a performance monitoring platform for wind and solar parks. The challenge involved developing a machine learning model that could automatically detect turbine malfunctions and other critical information from continuous time-series data. Participants had the opportunity to work with real-time data and develop creative, out-of-the-box solutions to this complex problem.

Challenge 2: Microsoft

Challenge 2 focused on healthcare data and the development of improved text analytics for multilingual medical information. The goal was to create a solution that could reliably extract and summarize medical information across different languages, using a combination of existing models and APIs. Participants had access to a variety of tools and resources, including GPT-3, Azure Text Analytics, and SciSpacy/SpaCy.

Challenge 3: AWS

Challenge 3 involved using machine learning to improve the service for Amazon Fulfillment Center. Participants were given access to AWS Machine Learning Platform (Amazon SageMaker) to train and test their models for object detection based on the Amazon Bin Image Dataset. Participants also received coaching from AWS experts to develop the most effective solutions.

Challenge 4: SAA

Challenge 4 was presented by the Swiss Association of Actuaries (SAA) and focused on improving the customer experience of finding information on travel insurance coverage. Participants used Natural Language Processing (NLP) techniques to develop a Q&A bot that could enhance the ability of insurers to deliver the right answers to their customers. The challenge provided participants with a real-world FAQ dataset and the latest Amazon Web Services (AWS) tools to create a more transparent and convenient travel planning experience.

These challenges provided an opportunity for participants to showcase their technical skills and creativity while tackling some of the biggest challenges facing industries today. The hackathon was a great success, and we look forward to seeing the innovative solutions that this year's participants will develop.


Friday 05 May

16:00 - 19:00

Workshops @ETH HG

19:00 - 20:00

Opening Apero

Saturday 06 May


Arrival at Trust Square


Reveal and presentation of challenges


Breakfast with all teams and partners







Sunday 07 May




Code Submission





Trust Square

We are thrilled to be hosting this year's datathon at TrustSquare Paradeplatz, a leading technology hub in Switzerland, located in the heart of Zurich's financial district. The event is a unique opportunity for participants to engage in a collaborative, data-driven problem-solving challenges. We warmly welcome you to the Datathon 2023 at TrustSquare!

Apply until April 21st

The Analytics Club is pleased to announce its upcoming Datathon taking place from May 5th to 7th. The Datathon is open to anyone interested in data analytics and machine learning, and you can apply either individually or with a team. If you register individually, you will be assigned to a team and you will work together on the challenge of your preference.

There will be different challenges to choose from, each with its unique data set and problem statement. The Datathon provides you with an excellent opportunity to apply your data analysis and machine learning skills to solve real-world problems. You also have the opportunity to meet other data science enthusiasts and experts in the field.We take care of the food so that you can focus on the challenges without worrying about anything else. You are also welcome to stay at the event venue, TrustSquare, for the entire Datathon.

Food will be provided, so you can focus on solving the challenges without worrying about anything else. This will also give you the chance to network with other participants and experts in the field. Overall, this Datathon is a fantastic opportunity to apply your data analytics and machine learning skills, learn from other participants, and network with experts in the field.

So, whether you're an experienced data analyst or just getting started, don't miss this exciting event. Apply today and get ready to tackle some real-world challenges!

Apply Now!

Our Sponsors

Ephicient logoOE logo2020INC logo2020INC logo

Frequently Asked Questions

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Will Data Days be an online or on-site event?

The Data Days will take place on-site.

Opening ceremony and workshops before Datathon on Friday, May 5 will take place at ETH HG.

Datathon, on Lay will take place at Trust Square Paradeplatz.

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Are there fees to participate in the fair or hackathon?

There are no fees to participate.

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Who is eligible to participate in the Datathon?

The hackathon is open to all ETH and UZH students. Places are distributed on a first-come-first-serve basis. The overall participation number is capped at 150 participants to ensure a positive overall experience for all involved parties.

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How many participants are allowed per team?

If you have a team of friends, you can register together with at least one other person and work in team sizes of 3 or 4. If you are alone, we will match you with the team.

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Do I need technical skills to participate in the Datathon?

Due to the technical nature of the challenge, basic coding skills and familiarity with machine learning would be recommended to ensure a positive experience. However, there are no formal requirements.