Sr Data Scientist II- Finance Data Science
Tasks
- Analyze structured and unstructured data to generate actionable insights
- Apply retrieval augmented generation to build intelligent finance assistants
- Build scalable risk assessment forecasting and anomaly detection models
- Collaborate with stakeholders data scientists and machine learning engineers
- Create gen ai applications using large language models
- Develop financial forecasting improvements with finance stakeholders
- Develop machine learning models for customer clustering and natural language processing
- Establish data science best practices and mentor junior analysts
- Monitor machine learning models performance and detect data drift
- Own end to end machine learning model lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Data Modeling | Docker | GCP | GenAI | Git | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Python | REST APIs | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting
Education
Roles
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