Process Modelling Engineer AI (Specialty Chemicals)
About the role
About the Company: Join this team to partner with enterprise clients in deploying data-driven software that transforms technical and operational environments. This cross-functional role blends engineering expertise with customer engagement, data analysis, and technical problem-solving to drive measurable business impact. If you are excited about being at the forefront of technology and using AI to solve real problems, read on.
About the Role: You will collaborate directly with customer stakeholders to diagnose operational challenges, analyze production data, and build models that unlock efficiency. The ideal candidate thrives in cross-functional teams, translates complex data into actionable insights, and bridges the gap between technical capabilities and business value.
Responsibilities:
Customer Success: Lead technical onboarding and implementation, building trusted relationships with stakeholders to drive workflow optimization and operational improvements. Data & Modeling: Analyze operational datasets to uncover trends, developing Python-based models and simulations that inform strategic decisions. Experience in building mechanistic models (first principles) and statistical models. Collaboration: Partner with product and engineering teams to refine platform functionality and communicate technical findings to diverse audiences. Problem Solving: Support troubleshooting and continuous improvement initiatives in complex industrial settings, ensuring successful project delivery from discovery to deployment.
Qualifications:
Experience: 5–7 years in process engineering, manufacturing, or operations, ideally within the specialty chemicals sector (e.g., polymers, adhesives, coatings, surfactants, performance polymers, monomers, & adhesives, semiconductor and advanced materials). Experience in mechanistic modelling or digital twin simulation. Previous experience working as a Process Development Engineer, R&D Engineer or Data Scientist.
Role requirements:
Education: Degree in Chemical Engineering or a related technical field. Technical Skills: Proficiency in data analysis, modeling, and simulation tools, with strong fluency in Python. Experience using Aspen Plus, COMSOL, ANSYS, MATLAB/Simulink for building models. Industrial Knowledge: Familiarity with enterprise historians (e.g., OSIsoft PI, DeltaV, Wonderware, GE Proficy) is highly valued. Soft Skills: Excellent communication and project management abilities, with a proven track record of engaging directly with customers. Language: Fluency in French is a bonus.
Not the right fit? Search for Process Modelling Engineer AI jobs in Toronto, Ontario, Canada
About Optimyze1
We were set up after several years in executive search and more than 15 years of experience working in-house at major technology companies and start-ups in Europe spanning video communications, fin-tech, travel and marketing CRMs (SaaS) software.
We focus on hiring exceptional Sales, Marketing, & Operations talent for software companies.
Expertise in building teams in the following functions:
Sales : Business Development, Account Executive, Channel, Leadership, Customer Success Marketing : Marketing Managers, Campaign Managers, CMO Sales Engineering Product Management
If you would like to grow your team get in touch: hello@optimyze1.com
Similar Jobs
Process Modelling Engineer AI (Specialty Chemicals)
About the role
About the Company: Join this team to partner with enterprise clients in deploying data-driven software that transforms technical and operational environments. This cross-functional role blends engineering expertise with customer engagement, data analysis, and technical problem-solving to drive measurable business impact. If you are excited about being at the forefront of technology and using AI to solve real problems, read on.
About the Role: You will collaborate directly with customer stakeholders to diagnose operational challenges, analyze production data, and build models that unlock efficiency. The ideal candidate thrives in cross-functional teams, translates complex data into actionable insights, and bridges the gap between technical capabilities and business value.
Responsibilities:
Customer Success: Lead technical onboarding and implementation, building trusted relationships with stakeholders to drive workflow optimization and operational improvements. Data & Modeling: Analyze operational datasets to uncover trends, developing Python-based models and simulations that inform strategic decisions. Experience in building mechanistic models (first principles) and statistical models. Collaboration: Partner with product and engineering teams to refine platform functionality and communicate technical findings to diverse audiences. Problem Solving: Support troubleshooting and continuous improvement initiatives in complex industrial settings, ensuring successful project delivery from discovery to deployment.
Qualifications:
Experience: 5–7 years in process engineering, manufacturing, or operations, ideally within the specialty chemicals sector (e.g., polymers, adhesives, coatings, surfactants, performance polymers, monomers, & adhesives, semiconductor and advanced materials). Experience in mechanistic modelling or digital twin simulation. Previous experience working as a Process Development Engineer, R&D Engineer or Data Scientist.
Role requirements:
Education: Degree in Chemical Engineering or a related technical field. Technical Skills: Proficiency in data analysis, modeling, and simulation tools, with strong fluency in Python. Experience using Aspen Plus, COMSOL, ANSYS, MATLAB/Simulink for building models. Industrial Knowledge: Familiarity with enterprise historians (e.g., OSIsoft PI, DeltaV, Wonderware, GE Proficy) is highly valued. Soft Skills: Excellent communication and project management abilities, with a proven track record of engaging directly with customers. Language: Fluency in French is a bonus.
Not the right fit? Search for Process Modelling Engineer AI jobs in Toronto, Ontario, Canada
About Optimyze1
We were set up after several years in executive search and more than 15 years of experience working in-house at major technology companies and start-ups in Europe spanning video communications, fin-tech, travel and marketing CRMs (SaaS) software.
We focus on hiring exceptional Sales, Marketing, & Operations talent for software companies.
Expertise in building teams in the following functions:
Sales : Business Development, Account Executive, Channel, Leadership, Customer Success Marketing : Marketing Managers, Campaign Managers, CMO Sales Engineering Product Management
If you would like to grow your team get in touch: hello@optimyze1.com