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! 🚀
In this internship role with a full-time opportunity, you will be working as a Data Engineer specializing in Web Data Scraping at Stylumia, located in Bengaluru with some work-from-home flexibility. Your key responsibilities will include: - Developing and maintaining web scraping scripts using tools like Scrapy, BeautifulSoup, and Puppeteer/Playwright. - Working with SQL/NoSQL databases to store, process, and query data. - Optimizing scrapers for efficiency, reliability, and scale. - Ensuring data accuracy, validation, and cleaning. - Collaborating with engineering and data teams to integrate scraped data into downstream systems. - Exploring and implementing the latest scraping tools and techniques. To be successful in this role, we are looking for candidates with the following qualifications: - Strong programming skills in Python (Node.js is a plus). - Experience with Scrapy and other scraping frameworks. - Familiarity with SQL, Git, Redis, and Elasticsearch. - Problem-solving mindset and attention to detail. - Good communication and teamwork skills. - Currently pursuing or completed a degree in CS, Data Science, or related fields. Nice to have qualifications include: - Experience with distributed scraping and parallel processing. - Knowledge of Docker and cloud platforms (AWS/GCP/Azure). - Exposure to data preprocessing and visualization tools. At Stylumia, you will have the opportunity to work on real-world, large-scale data projects, receive mentorship from experienced data engineers, and gain hands-on exposure to modern data tools and pipelines.,
Role Overview: At Stylumia, we are re-imagining the future of retail with AI-native, multi-agent solutions. Partner with Stylumia to illuminate your future. This full-time hybrid role for a Data Science Intern at Stylumia, located in Bengaluru with the flexibility of working from home. As an intern, you will be responsible for conducting data analyses, developing predictive models, generating insights, and supporting decision-making processes in the retail industry. Your day-to-day tasks will include data collection, data cleaning, statistical analysis, and presenting findings to enhance retail strategies. Key Responsibilities: - 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. Qualifications Required: - 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. Note: No additional details of the company were mentioned in the job description.,
Technology Data Scraping Engineer (Intern) Location: Bengaluru | Full Time Apply Now Who We Are Stylumia believes in augmenting human intelligence in fashion and lifestyle retail for a better world. With relevant data and the right technology, people and businesses in fashion and lifestyle retail can solve challenging problems and change the world for the better. In 2015-16, when we looked at the available technology and solutions, we saw fashion forecasting and demand planning are either subjective in nature. We saw these methods do not solve the fundamental challenge in fashion trend spotting, trend forecast, and the business metrics of full-price sell-through continue to remain around the 50 PERCENT mark creating over USD 750 billion/annum of wastage globally. The biggest wastage in the fashion industry is the one caused by ill-informed decision-making. We saw a need for a different kind of technology and approach, and we knew it would need a different kind of company to build it. That is why we formed Stylumia, a Deep Tech company solving fundamental retail challenges. Stylumia is a global innovation-first Retail AI organisation. We have products that impact the daily lives of varying multi-disciplinary personas across the value chain as we strive to help them eliminate wastage in the industry, by augmenting their decisions with consumer-backed insights. Skills & Responsibilities Strong programming skills with proficiency in Python and Node.js. Solid understanding of web scraping techniques and experience with relevant libraries and frameworks (e.g., BeautifulSoup, Scrapy, Puppeteer, etc.). Proficiency in SQL and experience working with relational databases for data storage and retrieval. Familiarity with version control systems, particularly Git. Knowledge of key-value stores, such as Redis, for caching and data storage. Experience with Elasticsearch or other search engines for data indexing and searching. Strong problem-solving skills and the ability to handle complex data extraction scenarios. Excellent attention to detail and the ability to ensure data accuracy and quality. Strong communication and collaboration skills to work effectively within a team environment. Familiarity with data privacy and security best practices. Bachelors degree in Computer Science, Data Science, or a related field (or equivalent experience). Responsibility Develop and maintain web scraping scripts to extract data from a variety of sources. Collaborate with the data team to understand data requirements and implement effective scraping strategies. Conduct data quality assessments to ensure the accuracy and reliability of scraped data. Optimize scraping processes for efficiency and performance. Troubleshoot and resolve issues related to data extraction and scraping. Implement data storage and management solutions using SQL databases, Git, Redis, and Elasticsearch. Collaborate with cross-functional teams to integrate scraped data into downstream applications and systems. Stay up to date with the latest web scraping techniques, tools, and technologies. Preferred Qualifications Experience with distributed data scraping and parallel processing techniques. Knowledge of data cleaning and preprocessing techniques. Understanding of cloud platforms and their services (e.g., AWS, GCP, Azure). Experience with containerization technologies like Docker. Familiarity with data visualization tools and libraries. Apply Now
Role Overview: As a Web Data Scraping Intern at Stylumia, you will play a vital role in designing and implementing data extraction, transformation, and loading processes. Your day-to-day tasks will involve creating and managing data models, building data warehouses, and analyzing datasets to support decision-making. By optimizing data workflows, you will contribute to the foundation of a secure and accurate demand-driven intelligence system. Key Responsibilities: - Develop and maintain web scraping scripts using Scrapy, BeautifulSoup, Puppeteer/Playwright. - Utilize SQL/NoSQL databases for storing, processing, and querying data. - Optimize scrapers for efficiency, reliability, and scalability. - Ensure data accuracy, validation, and cleaning. - Collaborate with engineering and data teams to integrate scraped data into downstream systems. - Explore and implement the latest scraping tools and techniques. Qualifications Required: - 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 with attention to detail. - Good communication and teamwork skills. - Currently pursuing or completed a degree in CS, IT, or related fields. Additional Details: Stylumia, founded in 2015, is dedicated to revolutionizing retail strategy by reducing wastage through advanced intelligence. The company's solutions, such as demand science and real-time consumer intelligence, drive revenue growth for brands and retailers globally. Partnering with Stylumia offers the opportunity to work on real-world, large-scale data projects, receive mentorship from experienced data engineers, and gain hands-on exposure to modern data tools and pipelines.,