Catalyst Lifecycle Engineer, Wärtsilä, Vaasa

at  Wrtsil

We are now looking for a data-driven Catalyst Lifecycle Engineer for our client Wärtsilä to reinforce their Marine Auxiliaries team. In this role, you will have the opportunity to develop within a global environment, spearheading the analysis, prediction, and optimization of catalyst performance within a cutting-edge maritime environment. If you have some understanding of chemistry and data management, along with an analytical and innovative mindset, continue reading and apply today!
About the role
In this role, you will dive into SCR systems, analyzing catalyst elements and optimizing their lifespan. You will utilize data analytics to develop algorithms for predicting element behavior and collaborate with cross-functional teams for data interpretation. This is a new unique position within a complex environment, and you will embark on a comprehensive learning journey. Initially, you will spend most of your time grasping the intricacies of the system and the processes. As you reach a better understanding of the system, exploring and drafting potential solutions can be initiated.

YOU ARE OFFERED

• Comprehensive onboarding for a new and unique position
• A diverse and supportive team
• An opportunity to work and develop in a global environment

Work tasks

• Analyze catalyst element performance and degradation patterns
• Develop algorithms and utilize data analytics to forecast element behavior
• Collaborate with cross-functional teams to gather and interpret relevant data
• Contribute to the development of strategies for optimizing catalyst lifespan and performance

We are looking for

• Relevant technical educational background
• Understanding of chemistry; an expert level is not needed, but it should be sufficient to comprehend expert discourse and contextual nuances
• Experience and understanding of data management
• Eagerness to learn and develop
• Fluency in English

Previous experience with similar tasks and proficiency in programming is advantageous for data interpretation, manipulation, and software development related to data management and analysis.

• Analyze catalyst element performance and degradation patterns
• Develop algorithms and utilize data analytics to forecast element behavior
• Collaborate with cross-functional teams to gather and interpret relevant data
• Contribute to the development of strategies for optimizing catalyst lifespan and performanc