Company Description Stylumia, founded in 2015, aims to revolutionize retail strategy and decision-making through advanced intelligence, significantly reducing wastage from unsold products. Utilizing predictive and prescriptive analytics, Stylumia enables brands to anticipate market trends and stay ahead. With features like demand science, real-time consumer intelligence, and an Gen AI-native approach, our solutions drive revenue and profit growth by transforming businesses for brands and retailers globally including the Fortune 100. Ready to illuminate your future? Partner with us today. Role Description This is a internship role with full-time role for a Data Engineer specializing in Web Data Scraping, located in Bengaluru with some work-from-home flexibility. Day-to-day tasks include designing and implementing data extraction, transformation, and loading (ETL) processes, creating and managing data models, and building data warehouses. Additionally, the role involves analyzing datasets to aid in decision-making and optimizing data workflows. As part of our data team, you’ll contribute to building the foundation of the world’s most secure, accurate demand-driven intelligence system. Location: [Onsite] | Type: Internship We’re looking for a Data Scrapy Engineer Intern to help us build scalable web scraping pipelines and manage large datasets powering our analytics and product solutions. We will conside lateral placement for exceptional talent. ✅ What You’ll Do Develop & maintain web scraping scripts using Scrapy, BeautifulSoup, Puppeteer/Playwright. Work with SQL/NoSQL databases to store, process & query data. Optimize scrapers for efficiency, reliability & scale. Ensure data accuracy, validation & cleaning. Collaborate with engineering & data teams to integrate scraped data into downstream systems. Explore and implement the latest scraping tools & techniques. ✅ What We’re Looking For Strong programming skills in Python (Node.js is a plus). Experience with Scrapy and other scraping frameworks. Familiarity with SQL, Git, Redis, Elasticsearch. Problem-solving mindset & attention to detail. Good communication and teamwork skills. Currently pursuing or completed a degree in CS, Data Science, or related fields. 🌟 Nice to Have Experience with distributed scraping & parallel processing. Knowledge of Docker & cloud platforms (AWS/GCP/Azure). Exposure to data preprocessing & visualization tools. Why Join Us? 🚀 Real-world, large-scale data projects 📚 Mentorship from experienced data engineers 🌐 Hands-on exposure to modern data tools & pipelines
Company Description At Stylumia, we are re-imagining the future of retail with AI-native, multi-agent solutions. From inspiration to validation, our platforms help global brands and retailers sense demand, spot trends, optimize pricing, and win market share — all by putting consumers at the center. Partner with Stylumia today to illuminate your future. Role Description This is a full-time hybrid role for a Data Science Intern at Stylumia. The role is located in Bengaluru with the flexibility of working from home. The intern will be responsible for conducting data analyses, developing predictive models, generating insights, and supporting decision-making processes. Day-to-day tasks include data collection, data cleaning, statistical analysis, and presenting findings to enhance retail strategies. Qualifications Strong Analytical Skills and proficiency in Data Science Experience in Statistics and Data Analytics Proficiency in Data Analysis techniques and tools Excellent problem-solving and critical-thinking abilities Ability to work independently and in a team environment Knowledge of AI and machine learning is a plus Currently enrolled in or recent graduate of a relevant degree program such as Data Science, Statistics, or Computer Science The Opportunity We are looking for a Data Science Intern to join our global team and work on cutting-edge Generative AI and Agentic Systems for the retail industry. This is not a typical internship — you will be immersed in a fast-evolving AI environment, working hands-on with multi-agent workflows, LLM-based intelligence, and real retail data to solve high-impact problems. What You’ll Do • Build and experiment with AI/GenAI agents for trend discovery, demand sensing, pricing, consumer insights, search, and matching. • Work with real-world retail datasets (structured, unstructured, multimodal) to extract patterns and predictions. • Prototype and evaluate agentic workflows that connect data → insights → decisions. • Contribute to internal R&D on consumer-driven intelligence at internet scale. • Collaborate with product, design, and engineering teams to take concepts from idea to proof. What We’re Looking For • Strong foundation in data science / machine learning (Python, SQL, ML libraries, MLops, Search). • Exposure to Generative AI, LLMs, or multi-agent frameworks (LangChain, n8n, Flowise, RelevanceAI, etc.) is a plus. • Curiosity to explore retail, consumer behavior, and digital commerce. • Ability to thrive in a fast, experimental, global team. • Self-starter with a learning mindset — we value inputs (effort, curiosity) as much as outputs (results). Why Join Us? • Work on real AI agent use-cases for Fortune 500 retailers and global brands. • Gain hands-on exposure to next-gen agentic environments — not just workflows, but autonomous decision-making systems. • Learn directly from a passionate founding team building the future of retail intelligence. • Opportunity to convert into a full-time role based on performance. Location: Hybrid Duration: 3–6 months (flexible, with possible extension/ permanent role) Lateral Placement opportunity exists for exceptional talent! 👉 If you’re excited about shaping the future of retail with AI, apply now. Let’s learn, build, and launch together! 🚀