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Alcon · Tuas, Singapore

# Senior Associate, Data Analytics and Machine Learning

Tuas, Singapore Senior individual contributor Data & Analytics 

Listed on Alcon’s official careers site. Posted October 6, 2026. Check that it is still open and apply there.
[Apply on Alcon’s careers site →](https://alcon.wd5.myworkdayjobs.com/careers_alcon/job/Tuas-Singapore/Senior-Associate--Data-Analytics-and-Machine-Learning_R-2026-48928-1)

[OpenNash Jobs](https://jobs.opennash.com/) / [Alcon](https://jobs.opennash.com/companies/alcon/) / Senior Associate, Data Analytics and Machine Learning

## Job description

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. In this role, a typical day will include: 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.

### WHAT YOU’LL BRING

TO ALCON: 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.

### HOW YOU CAN THRIVE AT ALCON

Good team player Enjoy working with various cross functional team across manufacturing site Alcon Careers See your impact at alcon.com/careers ATTENTION: Current Alcon Employee/Contingent Worker If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site. Find Jobs for Employees Find Jobs for Contingent Worker

## At a glance
- Posted by the employer: Oct 6, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 12 days
- Location: Tuas, Singapore[Apply on Alcon’s careers site →](https://alcon.wd5.myworkdayjobs.com/careers_alcon/job/Tuas-Singapore/Senior-Associate--Data-Analytics-and-Machine-Learning_R-2026-48928-1)

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