R&D Data Scientist

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 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 2026 in Brazil, Canada, China, Finland, Germany, Ireland, Mexico, Switzerland, South Africa, the UK and the USA.