About Artha

Artha Group is a performance-first investment house managing ₹2,300 crores across domestic and international investment vehicles, including Category I & II AIFs, LLPs, and Private Limited companies. With active investments in 130+ startups, with 32+ successful exits, and 10+ renewable energy projects. We operate at the convergence of capital precision and operational depth.

Our Technology Division is building the Unified Intelligence Platform (UIP) — an AI-first portfolio intelligence system powered by multi-agent orchestration, knowledge graphs, and large language models.

Location: Mumbai / Onsite

Employment Type: Internship (6 months)

Reporting To: CTO, Artha Group

Team: Technology Division- AI & Data Science

Experience Level:Final-year student or recent graduates (0-1 year)

Role Overview

This is a hands-on data science internship focused on fine-tuning language models, building financial data pipelines, and supporting AI workflows for a production-grade intelligence platform. You will work directly with the CTO and the AI team, gaining exposure to real VC data,



deal intelligence, and advanced ML systems.

This is not a research-only role. You will be expected to ship working components, handle messy real-world data, and contribute to production workflows.

You will
- Fine-tune small language models (SLMs) on proprietary VC and portfolio datasets
- Build and clean structured/unstructured financial data pipelines
- Develop embeddings for semantic search on deal memos and financials
- Support multi-agent AI workflows with ML components
- Design evaluation frameworks for LLM outputs in financial contexts
- Perform exploratory data analysis (EDA) on portfolio metrics and market trends
- Enrich knowledge graphs with ML-derived signals
- Key Responsibilities
- Implement LoRA/QLoRA fine-tuning workflows on HuggingFace
- Work with SLMs (Phi-3, Mistral, Gemma, LLaMA) and understand tokenization, context windows
- Handle financial datasets: P&L;, balance

📌 Data Scientist Intern (Lower Parel)
🏢 Artha Venture Fund
📍 Lower Parel