Sulzer is a leading engineering company with a proud heritage of innovation focused on sustainable industrial transformation
Job Summary
Sulzer is a leading engineering company with a proud heritage of innovation focused on sustainable industrial transformation.
The role involves developing cutting-edge digital and data-driven solutions from concept to commercialization in areas such as biopolymers, recycling, and carbon capture.
Employees receive 25 days holidays plus service days, pension scheme, health care programs, and access to various discounts.
Matching Summary
Sulzer is a leading engineering company with a proud heritage of innovation focused on sustainable industrial transformation.
Skills & Requirements
Must-have
Applied data science in chemical engineering
Proficient programming skills in Python
Data-driven product and process development
Mechanistic and hybrid modeling approaches
Exploratory data analysis with multidimensional data
Nice-to-have
Experience with DevOps/MLOps methodologies
Hands-on experimental experience
Collaborative multi-functional project teamwork
Ambassador for data-driven mindset
Key Requirements
Doctoral degree in Chemical/Process Engineering or related field
Experience in separations and purification technologies
Proficiency in kinetic and process modelling and optimization