Intern - Industrial Engineering
Based at Horana
The Bodywear Value Stream of MAS Holdings delivers end-to-end design, innovation and manufacturing solutions across lingerie, swimwear and next-to-skin categories. It brings together broad expertise in fit, comfort, performance and aesthetics to serve leading global brands at scale.
With design and innovation hubs in Sri Lanka, the USA, Canada and Hong Kong and manufacturing operations across Sri Lanka, Bangladesh, India, Vietnam, Indonesia and Kenya, Bodywear offers a diverse portfolio spanning bras, briefs, shapewear, sleepwear, performance bodywear and Olympic grade swimwear. The value stream portfolio includes Victoria’s Secret, Calvin Klein, Marks & Spencer, Triumph, Speedo and Aerie. Positioned as a global centre of excellence, the Bodywear Value Stream combines advanced product innovation, technology-led solutions and operational scale to meet evolving consumer expectations across intimate and swim categories.
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 Lean Enterprise team as an Intern.
KEY RESPONSIBILITIES:
- Analyze structured and unstructured data to generate actionable business and product insights
- Support preparation and optimization of product pipelines through data-driven analysis
- Prepare, clean, validate, and maintain databases to ensure data accuracy and reliability
- Assist in designing and maintaining dashboards, reports, and performance metrics
- Collaborate with product, operations, and technical teams on ongoing departmental projects
- Identify trends, patterns, and anomalies to support business and product decisions
- Document data processes, methodologies, and findings for internal stakeholders
- Provide ad-hoc analytical support as required by the department
KNOWLEDGE AND SKILLS:
- Bachelor’s degree in data science, Statistics, Computer Science, Business Analytics, or a related field
- Strong analytical and problem-solving skills
- Experience with databases and data preparation (SQL, Excel, or similar tools)
- Understanding of data analysis techniques and reporting methodologies
- Ability to work with cross-functional teams and manage multiple priorities
- Good communication skills with the ability to present insights clearly
