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.

Geoffroy Lefebvre - Group Digital Distribution Director Richemont

"After only a few weeks, SDSC was already able to help us demystify important business issues, translate insights into actions and generate true value-added services."

Geoffroy Lefebvre  /  Group Digital Distribution Director  /  Richemont

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
Matthias Graeber, Head of Data Science, Bühler Group

"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

Latest case studies

Job title standardization through entity alignment of knowledge graphs
Private sector

Job title standardization through entity alignment of knowledge graphs

Unifying heterogeneous knowledge graphs by applying Natural Language Models and Graph Theory in order to standardize job titles.
Data science for enhancing resource efficiency in manufacturing processes
Private sector

Data science for enhancing resource efficiency in manufacturing processes

A collaboration between the Swiss Data Science Center and the Swiss processing solution provider Bühler Group is laying the technical foundations to make real impacts on the industry’s carbon emissions through an innovative approach to optimizing manufacturing operations.
Modelling the end-user Swiss electricity consumption
Public Sector

Modelling the end-user Swiss electricity consumption

Leveraging Data for Energy Transformation: How Data Science can support Swiss Energy Policies?

News

Latest news

Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data scienceClimate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science
November 6, 2023

Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science

Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science

Food insecurity in sub-Saharan Africa is widespread, with crop yields much lower than in many developed regions. The project aims to use laser spectroscopy to measure fluxes and isotopic composition of N2O from maize and potato crops subjected to a range of fertilization levels.
Street2Vec | Self-supervised learning unveils change in urban housing from street-level imagesStreet2Vec | Self-supervised learning unveils change in urban housing from street-level images
October 31, 2023

Street2Vec | Self-supervised learning unveils change in urban housing from street-level images

Street2Vec | Self-supervised learning unveils change in urban housing from street-level images

It is difficult to effectively monitor and track progress in urban housing. We attempt to overcome these limitations by utilizing self-supervised learning with over 15 million street-level images taken between 2008 and 2021 to measure change in London.
DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound ImagingDLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
February 28, 2023

DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging

Optoacoustic imaging is a new, real-time feedback and non-invasive imaging tool with increasing application in clinical and pre-clinical settings. The DLBIRHOUI project tackles some of the major challenges in optoacoustic imaging to facilitate faster adoption of this technology for clinical use.

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

Philippe Glénat, VP Digital Lab, Firmenich

"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

Team

A team of professionals for data science collaborations

Nathanaël Perraudin
Nathanaël Perraudin
Sr. Data Scientist
Academia
Guillaume Obozinski
Guillaume Obozinski
Deputy Chief Data Scientist
Academia
Leadership & Administration
Ekaterina Krymova
Ekaterina Krymova
Lead Data Scientist
Academia
Federico Amato
Federico Amato
Sr. Data Scientist
Innovation
Johan Berdat
Johan Berdat
Sr. Data Scientist
Innovation
Lorenzo Cavazzi
Lorenzo Cavazzi
Sr. Computer Scientist
Renku

Contact us

Let’s talk Data Science

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