The SDSC has been a National Research Infrastructure since 2025, evolving from a strategic focus area of the ETH domain, with EPFL and ETH Zurich as founding partners. Its mandate is to support academic groups and research, hospitals, industry, and the public sector at large, including cantonal and federal administrations. The center accompanies and supports their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization.

The Center comprises a multi-disciplinary team of data and computer scientists and experts in several domains, with offices in Zürich, Lausanne, and Villigen.

We are currently looking for a Data Scientist to join SDSC's Innovation team, whose mission is to accelerate the adoption of data science by Swiss companies, public sector and NGOs.

Are you passionate about data science, familiar with machine learning, and keen on deepening your experience on the topic? Are you willing to solve industry and public sector challenges while being coached by experienced data scientists? Are you eager to be part of a diverse and adaptable team with growth opportunities of its members at its core?

If you can answer yes to these questions, you should consider joining us. We are a growing team of passionate data scientists who tackle business challenges and provide actionable results.

Responsibilities:

• Design, implement and test machine learning systems to solve industry and public sector challenges.
• Be involved in all aspects of a data science research project, from business understanding to proof of concepts and communication of achievements.

More specifically, in this role, you will:

• Meet customers to understand their business needs and design specific data science solutions to solve selected problems.
• Code and test the proposed solution (PoC), communicate results to stakeholders, and provide final reports of the work done and related outcomes.
• Present data science results to other non-technical audiences on occasion.

We are looking for candidates (m/w/d) with the following profile:

• Master’s degree in computer science, Mathematics, Physics, or similar field (PhD a plus)
• Ability to present results to different audiences (technical, non-technical)
• Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language
• 1-3 years of data science experience within the industry
• Fluency in (Swiss) German and English
• Openness to collaborative work, eagerness to learn new concepts and methods, willingness to contribute to an inclusive environment.
• Solid knowledge in NLP / Computer Vision, and Deep learning is a plus.

• Inspiring working environment.
• During your work, you will have the opportunity to be coached by data scientists with an academic background and industry and public sector experts.
• When dealing with data engineering aspects, you will have the opportunity to collaborate with our system specialists.
• The academic environment will allow you to grow your machine learning and statistics skills thanks to training

Start date:

 September 2025 or by agreement

Duration:

1-year renewable

In line with

our values

, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our

Equal Opportunities and Diversity website

to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

• Cover letter
• CV
• Diploma(s)

For recruitment services the

GTC of ETH Zurich

apply.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.