At Nouryon, our global team takes positive action every day, to reach higher goals collectively and individually. We create innovative and sustainable solutions for our customers to answer society's needs – today and in the future.

Purpose of the Job

The Process Automation & Digital (PA&D) department is Nouryon's global taskforce responsible for process automation and digitalization. Our projects ultimately lead to safer, leaner and faster operation of our assets. Data analytics are foundational for PA&D as it creates insight in improvement opportunities and solutions to materialize them. To accelerate our worldwide agenda, we are growing a Process Data Analysts team in Mumbai, India. This team will have a truly global scope, supporting all Nouryon plants worldwide. We currently seek a Process Data Analyst.

About the job (Job Responsibilities)

Analyze production, process, and laboratory data from chemical plants to identify trends, correlations, and deviations using ML and AI techniques.
Identify process improvement opportunities, by deep and multivariate analysis of historical process data
Build predictive models for yield improvement, cycle time reduction, raw material consumption optimization, and quality forecasting.
Build dashboards, alerts, and automated reporting for operational teams.
Develop, deploy and maintain data-driven solutions using the tools in the PA&D toolbox (e.g. Python, Azure, Matlab, R, PowerBI).
Scope new tools, algorithms and other developments within the ML and AI space, e.g. automatically updated soft sensors operating in iOT edge devices, golden-batch manufacturing multivariate models, allowing to select the right tool for the job.
Explain data analytics, ML algorithms and results in an understandable way to PA&D and plant staff Guide and support staff with data initiatives, thereby contributing to a higher level of data analysis capabilities within PA&D Liaise with other functions in the digital space, primarily IM (Information Management), for optimal landing of developed solutions in the Nouryon digital environment.

We believe you bring (Education & Experience)

Master's degree in chemical engineering, physics or electrical engineering or related field with a strong affinity towards data analysis.
Track record in big data analytics and ML-based solutions for manufacturing/chemical industry.
Extensive knowledge on and deep understanding of different machine learning algorithms.
Project management experience.
Proficiency in Python, R, SQL, and statistical modelling.
Able to work with (transient) data from DCS/PLC systems, LIMS, MES, SCADA, PI/Process Historians, and ERP (SAP).
Experience with visualization tools like Power BI.
Experience with machine learning techniques and time-series analysis for chemical processes. Familiarity with cloud platforms (Azure/AWS/GCP) and data pipelines.
Self-sustaining when it comes to the solution strategy.
Excellent presentation and reporting skills, both verbally and in written form.
Proficient in the English language.

Please apply via our online recruitment system. We will not accept applications via e-mail. Once it's with us, we will review to see if we have a match between your skills and the role! For more information about our hiring process, visit: nouryon.com/careers/how-we-hire/

We look forward to receiving your application!

We kindly ask our internal candidates to apply with your Nouryon email via Success Factors.

If you're looking for your next career move, apply today and join Nouryon's worldwide team in providing essential solutions that our customers use to manufacture everyday products such as personal care, cleaning, paints and coatings, agriculture and food, pharmaceuticals, and building products. Our employees are driven by the wish to make an impact and actively drive positive change. If that describes you, we will gladly make way for your ambitions. From day one we support you with your personal growth, through challenging positions and comprehensive learning and development opportunities, in a dynamic, international, diverse, and proactive working environment.

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Lead Process Data Analytics Engineer