Location
In office (Biyagama)
Seniority
Intern
Employment
Internship
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 10, 2026. MAS Holdings scores A on the Alion truth index.
Overview
Company
Impact
Profile match
MAS Holdings is a Sri Lankan apparel and textile manufacturing group headquartered in Colombo that designs and makes intimate wear, swimwear, sportswear, athleisure and performance apparel for global brands. Started by three brothers, it is Sri Lanka's largest apparel exporter, with a workforce of around 100,000 in 13 countries, joint ventures such as the Speedo swimwear maker Linea Aqua, and clients including Victoria's Secret, Calvin Klein, Marks and Spencer and Speedo. It recruits merchandisers, industrial and mechanical engineers, product development and innovation staff, financial analysts, employee relations executives and many interns in planning, sourcing, design and HR.
Intern - Operations
Based at Noyon, Biyagama
We are looking for an individual who is passionate about operations, process improvement, and data driven decision making. This role offers hands on exposure to production operations, delivery follow ups, process digitalization, data analysis, and continuous improvement initiatives within a dynamic manufacturing environment.
Key Responsibilities:
- Support daily production and delivery follow up activities to ensure smooth operational execution.
- Assist in the digitalization of operational processes through low code programming and automation initiatives.
- Collect, maintain, and analyze operational data to support decision making and performance improvements.
- Develop reports, dashboards, and data visualizations to monitor operational performance.
- Support method studies and work studies aimed at enhancing productivity and process efficiency.
- Collaborate with cross functional teams to identify and implement continuous improvement opportunities.
Knowledge and Skills:
- A Graduate or Undergraduate pursuing a degree in Physical Science, Data Science, Computer Science, Mathematics, or Industrial Engineering.
- Strong analytical and problem solving skills.
- Good communication and interpersonal skills.
- Knowledge of data analysis, reporting, and visualization tools will be an added advantage.
- Interest in process improvement, automation, and operational excellence.
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