R&D Data Scientist
SulzerSwitzerland1 day ago
Full-timeRemote FriendlyResearch, Analyst +1
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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
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.
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.
- 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.
- 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
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.
Key Skills
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