Overview
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. 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.
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.
Qualifications
* 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
* 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.
Questions 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.
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