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

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.
Leveraging AI to foster sustainable consumer goods
Private sector

Leveraging AI to foster sustainable consumer goods

Automated recommender system for more sustainable ingredient alternatives.
Repositioning drugs for a rare disease
NGO

Repositioning drugs for a rare disease

Harnessing the power of deep learning to repurpose drugs for the treatment of the Sanfilippo syndrome.

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

Ilnura Usmanova
Ilnura Usmanova
Sr Data Scientist
Academia
Victor Cohen
Victor Cohen
Sr. Data Scientist
Academia
Valerio Rossetti
Valerio Rossetti
Principal Data Scientist
Innovation
Sabrina Ossey
Sabrina Ossey
Privacy & Security Expert
Open-Research
Carl Remlinger
Carl Remlinger
Sr. Data Scientist
Academia
Simon Dirmeier
Simon Dirmeier
Sr. Data Scientist
Academia

Contact us

Let’s talk Data Science

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