Innovation

Collaborate with Data Scientists for your organization

Today, there is a gap between data scientists and business domain experts, which limits the impact of AI in Switzerland. Many organizations wish to be accompanied by an external, neutral partner in their digital transformation journey. These partnerships must provide innovative solutions to organizations’ business challenges. The SDSC teams provide support in gathering, analyzing and exploiting data at best.

Value proposition

How we help organizations become more data-driven

Deliver

  • Proofs of concept
  • Tailored coaching and expertise

We collaborate with organizations on strategic business cases by delivering robust, effective proofs-of-concept that can be easily industrialized. We provide expertise and impartial feedback on organizations’ data-driven initiatives.

Educate

  • Training and events
  • Capability enhancement

We help organizations gain maturity and impact in data-driven decision-making by providing bespoke coaching and training by our professional data scientists.

Transfer

  • Capacity building
  • Academic experts

We help organizations set up an AI and data science strategy and recruit specialized and dedicated data scientists.

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In 2022, we embarked on a collaborative journey with SDSC to exploit innovation in machine learning and enable model-informed precision medicine. The expertise and cutting-edge methodologies brought in by the SDSC team have been instrumental in advancing deeper understanding of patient factors influencing disease progression and clinical outcomes.

Nadia Terranova
PhD, Head of QP Advanced Data Analytics, Merck

"In our journey towards Augmented Creation, SDSC is a key partner, providing strong data science & AI capabilities. Their unique set-up, combining academic and industry expertise, brings true value to our digital strategy."

Philippe Glénat
VP Digital Lab / Firmenich

"In our digitalization journey, the SDSC is an essential source of academic and industrial data science expertise, as well as a flexible partner for delivering tangible outputs."

Matthias Graeber
Head of Data Science / Bühler Group

"Collaboration with SDSC was key in advancing EKZ’s innovation. Their state-of-the-art expertise in data science and AI at both scientific and industrial level significantly impacted our daily operations. Their domain expertise helped turning complex data into clear and actionable plans that impacted our business."

Marina Gonzalez Vaya
Head of New Technology / Elektrizitätswerke des Kantons Zürich (EKZ)

Collaboration

Ways of collaboration

Research agreements

One or more data scientist(s) hosted and managed by the Swiss Data Science Center

  • Hands-on data science work by a full-time SDSC professional
  • Project-related meetings with the collaboration lead
  • Organization of relevant use case workshops Ad hoc access to machine learning experts

Memberships & Community building

Bespoke coaching/supervision, training & joint thematic workshops

  • Campus immersion for your data scientists
  • Support to data science footprint growth & talent retention
  • Premium: Support to hiring for Member’s AI team

Included in all collaborations


  • Invitation to cross-industry events (for data scientists)
  • Participation to SDSC Executives' Meetup (for executives)
  • Connection with academia (e.g. MSc students), social media promotion

Latest case studies

Enhancing Parliamentary Services with Generative AI
Public Sector

Enhancing Parliamentary Services with Generative AI

Partly motivated by Inter-Parliamentary Union directives, the Swiss Parliament departments are exploring uses of generative AI in collaboration with academic institutions. The SDSC team was mandated to create a custom chat assistant powered by state-of-the-art LLMs and a robust RAG system to support complex multilingual interactions for information retrieval.
An artificial intelligence-based system for augmented cell & gene therapies
Private sector

An artificial intelligence-based system for augmented cell & gene therapies

Tigen is a clinical-stage biotech company, founded in 2017 and based in Switzerland, with a mission to bridge the gap between academic research and commercially viable therapies, particularly in the field of T cell-based cancer treatments.
Qlaire: Enhance Quality Management with generative AI
Private sector

Qlaire: Enhance Quality Management with generative AI

Qlaire enables Bühler's quality experts to rapidly access knowledge from issues texts. This leads to faster resolution of issues, easier retrieval of existing solutions, more efficient identification of quality hotspots, and a deeper understanding of quality concerns.

News

Latest news

Smartair | An active learning algorithm for real-time acquisition and regression of flow field dataSmartair | An active learning algorithm for real-time acquisition and regression of flow field data
May 1, 2024

Smartair | An active learning algorithm for real-time acquisition and regression of flow field data

Smartair | An active learning algorithm for real-time acquisition and regression of flow field data

We’ve developed a smart solution for wind tunnel testing that learns as it works, providing accurate results faster. It provides an accurate mean flow field and turbulence field reconstruction while shortening the sampling time.
The Promise of AI in Pharmaceutical ManufacturingThe Promise of AI in Pharmaceutical Manufacturing
April 22, 2024

The Promise of AI in Pharmaceutical Manufacturing

The Promise of AI in Pharmaceutical Manufacturing

Innovation in pharmaceutical manufacturing raises key questions: How will AI change our operations? What does this mean for the skills of our workforce? How will it reshape our collaborative efforts? And crucially, how can we fully leverage these changes?
Efficient and scalable graph generation through iterative local expansionEfficient and scalable graph generation through iterative local expansion
March 20, 2024

Efficient and scalable graph generation through iterative local expansion

Efficient and scalable graph generation through iterative local expansion

Have you ever considered the complexity of generating large-scale, intricate graphs akin to those that represent the vast relational structures of our world? Our research introduces a pioneering approach to graph generation that tackles the scalability and complexity of creating such expansive, real-world graphs.

Collaboration

Industries

  • Agri-food production
  • Energy
  • Private Banking
  • Manufacturing
  • Design
  • …and more

Public Sector

  • Energy
  • Support in hiring highly-qualified AI teams
  • Collaborate on data-driven projects featuring multi-disciplinary teams

NGOs

  • Volunteer training
  • Hands-on contribution
  • Humanitarian action quantification reports

Team

A team of professionals for data science collaborations

Benjamin Béjar Haro
Benjamin Béjar Haro
Lead Data Scientist & group leader SDSC Hub at PSI
Academia
Leadership & Administration
Alessandro Nesti
Alessandro Nesti
Principal Data Scientist
Innovation
Sofiane Sarni
Sofiane Sarni
Program Manager
Leadership & Administration
William Aeberhard
William Aeberhard
Sr. Data Scientist
Academia
Christian Donner
Christian Donner
Sr. Data Scientist
Academia
Fernando Perez-Cruz
Fernando Perez-Cruz
Former Deputy Executive Director & Chief Data Scientist
Academia
Leadership & Administration

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!