Data Scientist
Morningstar, Inc. (company site, opens in a new tab)2+ yrsMumbaiOn-siteDirect career pageEst. 12–20 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data science projects improving AI-powered extraction of structured information from documents, news, and reports.
- Develop, evaluate, and productionize NLP and ML models including large language models, retrieval-augmented generation, and agentic workflows for document understanding.
- Monitor model quality and business impact post-launch, perform error analysis, guide improvements, and collaborate cross-functionally with product, engineering, and domain experts.
Minimum Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or related quantitative field.
- At least 2 years experience in applied data science, machine learning, NLP, or information extraction.
- Proficiency in Python and SQL including experience with pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
- Work Experience Required: 2+ years relevant applied experience in data science or ML roles.
Ideal Candidate Profile
- Experienced in designing and deploying document intelligence or information extraction solutions leveraging transformers, embeddings, LLMs, prompt engineering, and fine-tuning techniques.
- Demonstrates technical leadership in problem formulation, experimental design, model evaluation, and production monitoring within complex, structured and unstructured data settings.
- Able to collaborate effectively with multidisciplinary technical teams (Product, ML Engineering, Software Engineering) and domain experts to deliver scalable, high-impact solutions.