Data Science Intern : Gen AI Native Retail Solutions

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! 🚀