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