Job Description

About Us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia's leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.


Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we're on the cusp of something great, where we're working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.


There's a lot more work to be done with all of our exciting plans. So we're looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right!).


Are you passionate about using data to solve real-world challenges?

About the Role

We are seeking a motivated and curious Data Analytics & Science Intern to join our dynamic team and contribute to exciting projects that directly impact our business. This internship is a fantastic opportunity to gain hands-on experience, learn from experienced professionals, and develop your skills in the in-demand field of data science.

About Our Projects

Our data analytics and science team tackles a variety of projects aimed at optimising our operations, enhancing customer experience, and driving business growth. Here are some of the projects you could be involved in:

Model Optimization - Personalized Recommendations: Enhance our existing recommendation engine through advanced model fine-tuning and performance optimization. Focus on improving recommendation relevancy, computational efficiency, and real-time processing capabilities. Size Recommendation Enhancement: Fine-tune and optimize our current size recommendation model by incorporating new data sources, improving model architecture, and implementing sophisticated validation techniques to increase accuracy and user trust. Search API Development: Optimizing search functionality to enhance product discovery and improve customer experience through efficient search algorithms. Advanced Analytics: Conducting in-depth statistical analysis and developing data-driven solutions to optimize business operations and identify growth opportunities. Customer Segmentation: Analyzing customer behavior patterns and developing sophisticated segmentation models to enable targeted marketing strategies and personalized experiences. Sorting Algorithm Optimization: Developing and fine-tuning intelligent sorting algorithms to improve product discovery and category browsing, incorporating factors like popularity, relevance, and personalized user preferences. Dashboarding & Visualization: Maintain and create interactive dashboards using Tableau and Metabase to provide actionable insights and monitor key business metrics across different departments.

Requirements

Who We Are Looking For

Data wizard with a fashion flair: Possess a strong foundation in Python, SQL, statistics and machine learning. Problem-solving aficionado: Ability to think critically, solve problems creatively, and communicate effectively with both technical and non-technical audiences. Team player with an independent spirit: Collaborate seamlessly while taking initiative and ownership of your projects

Advantageous to Have

Experience working with Databricks, PySpark, TensorFlow/PyTorch, and data visualisation platforms like Tableau or Metabase is a plus Passionate learner: Eager to delve into the world of fashion e-commerce data and continuously hone your skills

Benefits

What You Will Gain

Work on real-world projects that have a direct impact on the business. Gain hands-on experience with industry-standard data science tools and methodologies. Be mentored by experienced data professionals and learn from their expertise. * Develop your professional network and build valuable connections within the industry