Data Scientist Intern

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 (01 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 sheets, MIS reports, time-series metrics
• Build and maintain Python-based ML pipelines (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Integrate vector databases (ChromaDB, Qdrant) for semantic search
• Contribute to evaluation and monitoring of model performance

What Success Looks Like in 6 Months

• Delivered at least one fine-tuned model integrated into UIP workflows
• Built robust data pipelines for financial datasets
• Demonstrated ability to work independently on assigned ML tasks
• Produced clear documentation and reproducible experiments
• Received positive feedback from CTO and AI team on ownership and execution

Candidate Profile

• Education: Final-year or recent graduate in CS, ECE, Statistics, Data Science, or MBA with strong quant background
• Experience: 01 year; prior projects in NLP, ML, or financial data preferred
• Mindset: Ownership-driven, curious, comfortable with ambiguity, strong execution discipline
• Portfolio: GitHub repos, Kaggle notebooks, fine-tuning experiments, or research papers are a strong plus

Required Skills

• Strong foundations in statistics, probability, and ML theory
• Hands-on experience with fine-tuning language models (LoRA, PEFT)
• Proficiency in Python and ML stack (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Familiarity with vector databases and semantic search
• Understanding of transformer architectures and attention mechanisms

Good to Have:

• Exposure to VC/FinTech datasets
• Experience with LangChain/LangGraph, Neo4j, or MLOps tools
• Knowledge of RAG pipelines and LLM evaluation frameworks

Compensation Structure

• Stipend: 25,000 per month, with the possibility of converting to a full-time position
• Duration: 6 months
• Start Date: Immediate
• PPO: High performers will be considered for a full-time role

What This Role Is NOT

• This is not a pure research internship you will work on production-grade systems
• This is not a remote-only role fulltime presence in Mumbai is expected
• This is not a short-term project full 6-month commitment required