Data Scientist Intern

LUXASIA is the leading beauty omnichannel distribution platform of Asia Pacific that has successfully enabled brand growth for more than 100 luxury beauty brands. Our integrated brand-building capabilities include luxury retail, online commerce, consumer marketing, and supply chain management. Since 1986, the company has partnered the world’s finest brands, such as Aveda, Bvlgari, Calvin Klein, Diptyque, Hermes, La Prairie, Montblanc, and SK-II. We have also established Joint Ventures with the likes of LVMH Group, Elizabeth Arden, Puig, Yves Rocher, and By Terry. At the core of our business is a diverse and dynamic #OneTeam of 2000 talents that shape the face of luxury beauty, and delights consumers daily across our growing footprint of 15 markets.

Why Join Us?

At LUXASIA, we believe there is beauty within every talent – that is you. We grow you by building your competencies and unleashing your potential. We have curated a vast portfolio of over 100 luxury brands across Asia Pacific, and growing. Your work will enrich the lives of millions of consumers across the region. With us, you get to be an entrepreneur, running the business like it is your very own. We give you the autonomy but not without guidance and genuine care. We are a diverse and inclusive team that is courageously innovative. Together as #OneTeam, we celebrate differences, embrace change, explore new ideas, take risks, fail fast, and drive results. While challenges at work are inevitable, the journey promises to be fulfilling. With LUXASIA, an exciting career filled with robust professional growth awaits you. Isn’t that beautiful?

Intern Project Details

Develop a predictive analytics solution to discern customer preferences, behavioural patterns, and evolving market trends across various channels.

This solution should seamlessly offer personalized product recommendations, mitigate decision fatigue, streamline product discovery, accurately forecast churn likelihood, and optimize omnichannel strategies for sustainable business growth.

Responsibilities

• Data Collection and Cleaning
• Collecting, processing, and cleaning data from various sources to ensure accuracy and reliability.
• Preparing data sets for analysis by identifying and addressing any inconsistencies or missing values.

• Data Analysis
• Analysis of large datasets using statistical methods and machine learning techniques.
• Conducting exploratory data analysis to identify patterns, trends, and correlations.
• Development of predictive models and algorithms.

• Model Development and Evaluation
• Development and implementation of machine learning models for predictive analytics and enabling stakeholders to use these models for outreach campaigns.
• Evaluating model performance using appropriate metrics and making recommendations for improvement.

• Data Visualization
• Creating visualizations and reports to communicate findings and insights to stakeholders.
• Utilizing tools such as Tableau to create compelling data visualizations.

Requirements

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related field.
• Strong programming skills in languages such as Python, R, or SQL.
• Familiarity with data manipulation and analysis libraries such as Pandas, NumPy, or scikit-learn.
• Basic understanding of statistical concepts and methods.
• Experience with data visualization tools and techniques.
• Excellent problem-solving and analytical abilities.