Intern - Lean Enterprise

Company: MAS Holdings

Role summary

Intern - Lean Enterprise is a full-time role at MAS Holdings in Middeniya, Southern Province, Sri Lanka (on-site). Posted 2026-08-11. Experience level: 0-2. No degree required.

Job title
Intern - Lean Enterprise
Company
MAS Holdings
Location
Middeniya, Southern Province, Sri Lanka
Work arrangement
on-site
Employment type
full-time
Category
Software Engineering
Experience level
0-2
Degree required
No
Date posted
2026-08-11

Job description

Intern ‐ Lean Enterprise

(Based at Embilipitiya)

The Activewear Value Stream delivers high-performance sportswear and athleisure solutions designed for technical functionality, durability and everyday versatility— serving sports, lifestyle and performance segments. With a strong focus on innovation, MAS is advancing wearable technology that tracks fitness and workout analytics while blending advanced sportswear with fashion and aesthetic appeal.

Operating across Sri Lanka, Jordan and Indonesia, and with development centres in Sri Lanka and Canada, Activewear serves a global customer base that includes Nike, lululemon, Patagonia, Ralph Lauren and Gymshark. The Activewear product range offers diverse solutions such as Knit, Fleece, Tees, Woven, Sweaters, Engineered Knit.

As a unified platform, the Activewear Value Stream combines global scale, speed and technical expertise, positioning MAS as a trusted partner for innovative, performance and lifestyle apparel.

Empower transformation by becoming a driving force of change at MAS. We are on the lookout for a dedicated individual to assist in our Lean Enterprise team.

Key Responsibilities:

Support Team Leader and Group Leader functions in daily operations.

Support plant‐wide 5S activities, audits, and improvement initiatives.

Support Lean, Kaizen, Continuous Improvement projects.

Support KPI monitoring and performance improvement initiatives.

Collect and analyze production and operational data to identify improvement opportunities.

Knowledge and Skills:

Final year undergraduate or a fresh graduate in Physical Science, Management, Statistics, Mathematics.

Strong analytical skills and good knowledge of MS Excel, Word and Power Point.

Good communication skills and team working.

Basic knowledge of Power BI would be an advantage.

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