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.
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Artha Energy New phase of hiring for Data Scientist Intern | 0-1 exp needed . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
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Job Details :
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.
Job Responsibilities
- 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
For Apply : Click here
Requirement
- Education: Final-year or recent graduate in CS, ECE, Statistics, Data Science, or MBA with strong quant background
- Experience: 0–1 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
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