R&D; Data Scientist

Experience: Not Available to Not Available years

Location: Winterthur

Skills: Python, data-driven solutions, statistical models, exploratory data analysis, mechanistic modelling, black box modelling, hybrid modelling, end-user software development, DevOps, MLOps, data visualization

Company Overview
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.

About the role
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:
Doctoral degree in Chemical/Process Engineering or a related field. Proficiency in applied data science in the chemical/process engineering domain preferably in separations & purification, polymers, 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 have. Experience in end-user software development & methodologies (DevOps/MLOps) is a big plus. Hands-on experimental experience in the above-mentioned fields is a plus.

What we offer you
25 days holidays (exclusive of bank holidays) + service days Defined contribution pension scheme Employee Assistance Program/health care On-site car parking/public transport allowance Access to a wide range of discounts Sulzer is an equal prospect 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 2026 in Brazil, Canada, China, Finland, Germany, Ireland, Mexico, Switzerland, South Africa, the UK and the USA.

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