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 front‑of‑line 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.
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