Senior Associate, Data Analytics and Machine Learning

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon.

As the Data Analytics & AI/ML Solutions Senior Engineer under the Smart Technology Dept, you will be responsible for transforming manufacturing data into actionable business intelligence, predictive insights, and AI-driven solutions that accelerate Alcon's Lights-Out Manufacturing vision. This role bridges manufacturing operations, process engineering, OT/IT systems, and advanced analytics to develop scalable solutions that improve quality, productivity, reliability, and cost performance across global manufacturing sites.

The position serves as a solution delivery engineer within the Smart Tech CoE, translating shopfloor challenges into validated, scalable, and reusable AI/ML applications that can be deployed across multiple sites. The CoE's objective is to convert manufacturing problems into secure, scalable solutions and replicate them globally.

• Develop and deploy data‑driven solutions using manufacturing data (e.g., machine data, quality data, MES/SCADA data) for manufacturing performance improvement
• Build predictive and prescriptive models utilizing production, quality, maintenance, and supply chain data.
• Analyse manufacturing process variability and identify optimization opportunities.
• Develop statistical models to improve operational performance and efficiencies (e.g. OEE, yield, scrap reduction, and throughput).
• Create manufacturing intelligence frameworks to support data-driven decision making.
• Develop MLOps pipelines to support scalable deployment and model lifecycle management.
• Ensure solutions comply with GxP, validation, cybersecurity, and data governance requirements.
• Design executive dashboards and operational control towers that connect with real-time manufacturing KPIs and predictive alerts.

• Education: Bachelor / Master degree in Data Science, AI or Machine Learning Engineering, Computer Science Engineering.
• Experience: 3–8 years of direct hands-on experience manufacturing data analytics, AI / ML development in implementing smart factory solutions / industrial digital transformation. Understanding of fast pace GMP manufacturing environment would be added advantages.
• Comfortable to be based at Tuas site, transport provided from Boon Lay, Kranji and Outram Park MRT.

• Good team player
• Enjoy working with various cross functional team across manufacturing site

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