Data Scientist

Design, implement, and optimize NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and language generation. - Utilize libraries such as NLTK, SpaCy, TensorFlow, or PyTorch for model development. Preprocess and clean large datasets, ensuring data quality and integrity for NLP applications. - Develop scripts to automate data extraction, transformation, and loading (ETL) processes. Work closely with data scientists, analysts, and other stakeholders to understand project requirements and deliver effective NLP solutions. - Collaborate in an Agile environment, participating in sprint planning and code reviews. Analyze and improve the performance of existing NLP models and algorithms. - Implement best practices for model evaluation and validation. Document processes, methodologies, and model performance metrics. - Present findings and insights to technical and non-technical stakeholders.

CRISIL is an agile and innovative, global analytics company driven by its mission of making markets function better.