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Description:
Domain: NBFC / Banking / FinTech (preferred)
Role Summary:
Looking for a Senior Data Scientist with strong NLP and GenAI expertise to build and deploy AI/LLM models for credit risk, fraud detection, text analytics, and document automation using financial and bureau data.
Key Responsibilities:
- Build NLP models for NER, sentiment analysis, document classification, and risk insights
- Develop GenAI solutions for summarization, chatbots, and automated document processing
- Work with large-scale financial/bureau data for credit underwriting and segmentation
- Fine-tune LLMs (Transformers) and implement embeddings, vector DBs, and RAG pipelines
- Collaborate with credit, risk, and business teams to integrate AI models
- Deploy scalable AI solutions on AWS/GCP/Azure
Required Skills:
- Strong Python, PyTorch/TensorFlow, Hugging Face, SpaCy
- Hands-on LLMs, fine-tuning, prompt engineering
- SQL + Spark/PySpark for large data handling
- Experience in financial/bureau/transaction data
- Knowledge of vector DBs, embeddings, knowledge graphs
Good to Have:
- GenAI apps, chatbots, RAG, speech-to-text
- Credit risk/fraud modeling exposure
- Experience in NBFC/Bank/FinTech environments
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