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Intern - Industrial Engineering at MAS Holdings

Nittambuwa, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, Data analysis, Industrial engineering, Efficiency improvement, Process optimization, Resource utilization, Communication skills, Analytical skills

Industry

Apparel & Fashion

Description

Intern ‐ Industrial Engineering (Based in Nittambuwa) 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. Join MAS and embrace the opportunity to shape the future! We are on the lookout for a dynamic and an energetic individual to join the IE team as an Intern. Key Responsibilities: * Conduct data analysis using Power BI. * Drive SMV improvements. * Implement efficiency improvement. * Optimize process and resources utilization. Key Qualifications & Skills: * Undergraduate or a fresh graduate degree in Physical Science. * Strong knowledge in Power BI and good analytical skills. * Good communication skills.

Responsibilities

The intern will conduct data analysis using Power BI and drive improvements in SMV and process efficiency. They will also focus on optimizing resource utilization within the Industrial Engineering team.