Job Description

CT_Technology & Innovation-E122



R&D Data Scientist - Full Time - Winterthur, Switzerland

Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society.

We are looking for a R&D Data Scientist to join our CT_Technology & Innovation team in Switzerland.





Are you passionate about innovation and eager to make a real impact in the transition to a more sustainable future? As part of our dynamic R&D team within the Technology & Innovation organization, you'll play a key role in developing cutting-edge solutions--from initial concept to commercialization.





In this position, your focus will be on digital and data-driven solutions in areas such as biopolymers, separations & purification technologies, bio-based fuels & chemicals, recycling, carbon capture and beyond. This is your chance to contribute to sustainable innovation at the forefront of industrial transformation.

Your main tasks and responsibilities:

Lead and implement digital & data-driven capabilities for product & process development to solve high impact business problems. Combine data-driven, statistical, classical models and domain experience to drive and accelerate key R&D initiatives. Work in close collaboration with multi-functional project teams to develop digital and data-driven solutions. Develop insights from complex datasets, generate data-driven hypotheses, design experiments and drive the development of optimized products and process solutions. Design and implement end-user data-driven/digital tools for advanced analytics, predictive algorithms and data visualization. Communicate actionable insights using data to a diverse audience across all levels of the organization. Be an ambassador for data-driven mindset across the organization.

To succeed in this role, you will need:

Master's or Doctoral degree in Chemical Engineering/Process Engineering, or a related field. Proficiency in applied data science in the chemical/process engineering domain preferably in polymers, separations & purification, catalytic or renewable process development. Experience in exploratory data analysis with scarce and multidimensional data. Experience in mechanistic/black box/hybrid modelling approaches to combine data science methodologies with engineering knowledge (i.e., for kinetic and process modelling & optimization). Highly proficient programming skills, preferably in Python is a must, experience in end-user tool development is a plus. Fluency in English, written and spoken. German is a plus. Willingness to occasionally support hands-on data collection from the lab/pilot-plant/manufacturing operations.

What we offer you:

An innovative, vibrant and agile culture where you can contribute to a more sustainable future Excellent social benefits (holidays, pension fund etc.) Attractive employment conditions Access to a wide range of discounts on Everyday Shopping, Entertainment and Lifestyle


No visa or work permit support can be provided for this role.

Do you have a question about the role?

Reach out to Sarina Studer at Sarina.Studer@sulzer.com. Our team is looking forward hearing from you!

Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment.

We are proud to be recognized as a Top Employer 2025 in Brazil, China, Finland, Germany, Ireland, Switzerland, South Africa, the UK and the USA.