AI Intern

Job Description - Analytics & AI Engineer - Intern

HONASA:

Honasa Consumer Limited is India's largest digital-first house of beauty and personal care brands. Our portfolio includes Mamaearth, The Derma Co., Aqualogica, Staze, BBlunt and Dr. Sheth's — built on data, technology and a deep understanding of evolving consumer needs. Listed on NSE and BSE, we sell across e-commerce, quick commerce, modern trade and a fast-growing general trade network reaching ~3 lakh retail outlets across India.

At the core of everything is the belief that data gets us closer to our consumers — and to the people who sell to them. This role is central to that.

About the Internship:

This internship sits at the intersection of business, analytics and applied AI. You'll work with the AI and Analytics team on real business problems across sales, supply chain, finance, commercial and marketing — turning ideas into practical AI applications.

You'll work alongside AI engineers, analysts and business teams to build automations, LLM applications, RAG systems and agentic workflows — learning by building and contributing to solutions that create real impact for teams and customers.

What You'll Do:

■ Build AI-powered automations and workflows that reduce recurring manual work.■ Experiment with LLM applications, RAG systems and agentic workflows over business data.■ Use Python and SQL to prepare, analyse and validate data for AI applications.■ Work with APIs, tools and data pipelines to connect AI solutions with business workflows.■ Test prompts, evaluate LLM outputs and iterate to improve application quality.■ Prototype ideas with modern AI frameworks and turn promising concepts into working applications.■ Break business problems into technical problems and build solutions with guidance from the team.

What You'll Get to Build

■ Creative OS — AI workflows across the influencer and advertising lifecycle — from creator/content signals to creative performance and optimization.■ Consumer Research — AI-powered trend and simulation engines using search and social signals to explore consumer trends, claims, pricing and naming.■ Business Data MCP — Natural-language interfaces that let employees ask questions about Honasa data and receive relevant charts, comparisons and cited answers.■ Market Science — Data and AI solutions across pricing, marketing mix modelling, revenue growth and experimentation.■ Enterprise OS — Agentic automations across finance, supply chain, commercial operations and sales that reduce repetitive work end-to-end.■ Voice of Consumer (OS) — Agentic workflows that analyse marketplace, quick-commerce and D2C reviews to surface themes and insights for R&D;, packaging and e-commerce.■ ComOps OS — Multi-agent workflows across forecasting, planning, inventory, dispatch and availability, connecting data to business actions with human-in-the-loop approvals.

Good to Have

■ Academic or personal projects involving LLMs, RAG, agents, NLP or automation.■ Exposure to LangChain, LangGraph, Streamlit or similar AI application frameworks.■ Familiarity with embeddings, vector databases, APIs, tool/function calling or MCP.■ Build projects on AI-ready infrastructure and architecture; exposure to AI infrastructure and GCP.■ Builder mindset — excited to take an AI idea from concept to a working real-world application.■ GitHub portfolio, capstone project or other evidence of hands-on technical work.