Data Scientist

About the job

What you’ll work on : • Designing and building GenAI / LLM-based systems for wealth advisory use cases (personalised insights, portfolio intelligence, conversational advisory) • Prompt engineering, RAG pipelines, embeddings, vector databases • Fine-tuning / adapting LLMs where required • Building ML models for user behaviour, recommendations, and financial insights • End-to-end ownership : data exploration → modelling → deployment → monitoring Expectations : • Understanding of large language models (LLMs) like LLAMA, Anthropic Claude 3, or Sonnet. • Familiarity with cloud platforms for data science like AWS Bedrock and GCP Vertex AI • Strong proficiency in Python and data science libraries (scikit-learn, TensorFlow, PyTorch). • Solid understanding of statistical methods, machine learning algorithms, and wealth tech applications. • Experience in data wrangling, visualization, and analysis. • Collaborative mindset and ability to thrive in a fast-paced startup environment. Bonus points : • Experience in capital market use cases • Familiarity with recommender systems and personalization techniques. • Experience building and deploying production models. • Data science project portfolio or contributions to open-source libraries.

Requirements

• GenAI
• LLM
• Python
• Data Science

Preferred Technologies

• GenAI
• LLM
• Python
• Data Science

About the company

StockGro is a mobile-first cross-platform (Android & iOS, Mobile + Web App) Fintech product that’s empowering 25 million+ users to master the art of trading and investment in a risk-free and gamified manner. At StockGro - India’s First and Largest Social Investment Platform, users indulge in Social Investing and learn various trading strategies by interacting with leading fund managers, F&O traders, and algo traders.