Intern - Data Science & Analytics

Intern – Data Science & Analytics 

(Based at MDS – Ratmalana)

MAS Intimates, the largest division of MAS Holdings, provides design and manufacturing solutions for leading global lingerie brands. With design hubs in Hong Kong, London, and Sri Lanka, and manufacturing facilities across Sri Lanka, Bangladesh, India, Indonesia, and Kenya, it offers a diverse product portfolio, including bras, briefs, shapewear, performance wear, sleepwear, and wearable tech. Intimates’ customers include Victoria’s Secret, Gap, and Calvin Klein. The division's innovation teams collaborate with universities and experts to deliver consumer-driven, technology-led solutions. 

Empower transformation by becoming a driving force of change at MAS, by joining MAS Intimates as an Intern – Data Science & Analytics based at Ratmalana. This will be a great opportunity to further your subject knowledge and gain hands on experience while accelerating your personal development.

KEY RESPONSIBILITIES

Assist in cleaning, transforming, and organizing raw data to ensure it is accurate, consistent, and ready for analysis.

Support the structuring and integration of data from multiple sources to build reliable datasets for analytics and reporting.

Collaborate with the team to design and maintain interactive and visually appealing dashboards using tools like Power BI, enabling stakeholders to make informed, data-driven decisions.

Support in conducting exploratory data analysis to uncover trends, insights, and actionable opportunities.

Implement quality checks and validation processes to ensure the accuracy and reliability of data used in reports and dashboards. 

KEY REQUIREMENTS

Currently pursuing or recently completed a degree in Statistics, Business Analytics, Data Science, Engineering, or a related field.

Hands-on experience with Power BI, Power Apps, and Power Automate, with a strong ability to create interactive dashboards and automate workflows.

Familiarity with data manipulation, analysis, and visualization techniques, as well as a basic understanding of database concepts and tools.

Ability to work in a team-oriented environment, demonstrating strong interpersonal and negotiation skills to gather requirements and drive projects forward.

Strong problem-solving skills with the ability to derive insights from complex datasets and translate them into actionable recommendations.