Job Description

W ABB pomagamy przemys?owi wyprzedza? konkurencj? - dzia?a? sprawniej i ekologicznie. U nas post?p to standard - dla Ciebie, Twojego zespo?u i ca?ego ?wiata. Jako globalny lider dajemy Ci to, czego potrzebujesz, by to osi?gn??. Nie zawsze b?dzie ?atwo, rozwoj wymaga determinacji. Ale w ABB nigdy nie b?dziesz dzia?a? sam. Zarz?dzaj tym, co porusza ?wiat.


Stanowisko to podlega:


Manufacturing Digitalization Manager

We are looking for an experienced Data Scientist to join our team and support our digitalization initiative. In this role, you will leverage advanced analytics and data science methodologies to optimize manufacturing performance, enable proactive decision-making, and drive measurable operational improvements across the global operations landscape. You will also embed analytics deeply into operational practices to enhance efficiency, reduce costs, and improve overall manufacturing effectiveness.


The Manufacturing Digitalization Platform is a modern tool allowing superior improvement in amount and quality of collected information (data) from the shopfloor. This information is a corner stone change in how we look at our operations processes. This new way of thinking requires from us to adapt and build a proper capability in areas of Data Science and Industrial Analytics.


The work model for the role is: hybrid ; #LI-Hybrid


The role is contributing to the IEC LV Motors division in globally.


The location of the role will be India (Faridabad, Bangalore) or China (Shanghai).


Willingness to travel is required (up to 20%).


You will be mainly accountable for:

Data-Driven Optimization: Utilizing AI/ML and statistical modeling to analyze manufacturing data, enhance efficiency, reduce costs, and improve throughput. Predictive & Continuous Improvement: Developing predictive models for equipment failures and bottlenecks, supporting Lean/Six Sigma initiatives, and providing insights for Kaizen and value stream mapping. Analytics & Visualization: Conduct root cause analysis, designing KPIs and dashboards, and communicating findings through compelling visualizations to drive informed decision-making. Collaboration & Knowledge Sharing: Working closely with cross-functional teams, documenting best practices, providing training, and ensuring analytics solutions are practical and actionable.

Qualifications for the role

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7+ years of experience in applied data analytics or data science, ideally within manufacturing, supply chain, or industrial operations. Hands-on experience with advanced analytics platforms and tools (Python, R, SQL, Time-Series Databases, Power BI, SSRS, Azure ML, Snowflake and more). Proven ability to develop, validate, and deploy predictive and prescriptive models in a real-world setting. Degree in Data Science, Statistics, Industrial Engineering, Computer Science, or a related field. Knowledge of Lean, Six Sigma, or continuous improvement practices is a bonus. Strong communication and visualization skills--able to engage both technical and non-technical stakeholders. Experience working in global, cross-functional teams in complex organizations. Fluent English language skills.

More about us

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The IEC Low Voltage Motors Division is a technology leader delivering a full range of energy-efficient low-voltage motors, including ultra-efficient solutions such as IE5 SynRM (synchronous reluctance motors). Through a global footprint, domain expertise and rugged designs, the Division provides reliable technology that improves efficiency and productivity even in the most demanding applications.


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