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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

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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.

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Educate

  • Training and events
  • Capability enhancement

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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

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

"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
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  • 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

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Memberships & Community building

Bespoke coaching/supervision, training & joint thematic workshops
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  • 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

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  • 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

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
Read more
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.
Read more
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.
Read more
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

News

Latest news

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?
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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.
Read more
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RAvaFcast | Automating regional avalanche danger prediction in SwitzerlandRAvaFcast | Automating regional avalanche danger prediction in Switzerland
March 6, 2024

RAvaFcast | Automating regional avalanche danger prediction in Switzerland

RAvaFcast | Automating regional avalanche danger prediction in Switzerland

RAvaFcast is a data-driven model pipeline developed for automated regional avalanche danger forecasting in Switzerland. It combines a recently proposed classifier for avalanche danger prediction at weather stations with a spatial interpolation model and a novel aggregation strategy to estimate the danger levels in predefined wider warning regions, ultimately assembled as an avalanche bulletin.
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Collaboration

Industries

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

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Public Sector

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

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NGOs

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

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Team

A team of professionals for data science collaborations

Victor Van Wymeersch
Victor Van Wymeersch
Data Scientist
Innovation
Snežana Nektarijevic
Snežana Nektarijevic
Sr. Data Scientist
Innovation
Benjamin Béjar Haro
Benjamin Béjar Haro
Lead Data Scientist & group leader SDSC Hub at PSI
Academia
Leadership & Administration
Fernando Perez-Cruz
Fernando Perez-Cruz
Former Deputy Executive Director & Chief Data Scientist
Academia
Leadership & Administration
François Kamper
François Kamper
Sr. Data Scientist
Academia
Ivan-Daniel Sievering
Ivan-Daniel Sievering
Data Scientist
Innovation
Meet the  teamSee open Positions

Contact us

Let’s talk Data Science

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