Role Overview
We are seeking a skilled Data Scientist with strong expertise in advanced analytics, NLP, and cloud-based data platforms. The ideal candidate will work on building scalable data solutions and AI/ML models within a cloud environment, supporting business use cases in the banking/insurance domain.
Required Skills & Experience
- 4–8 years of experience in Data Science / ML / Data Engineering.
- Strong programming skills in Python and SQL.
- Hands-on experience with PySpark and distributed data processing.
- Experience with Azure cloud services and Databricks (Unity Catalog, Jobs, Pipelines).
- Knowledge of NLP, advanced analytics, and machine learning techniques.
- Experience with LLMs, prompt engineering, and MLOps/LLMOps.
- Strong understanding of ETL pipelines and system design.
- Background in banking or insurance domain is preferred.
- Strong stakeholder management and communication skills.
Key Responsibilities
- Develop and deploy machine learning and NLP models for business use cases.
- Work with large-scale data pipelines and distributed systems (e.g., PySpark, Spark).
- Design and implement ETL pipelines and data transformation processes.
- Collaborate with stakeholders to translate business needs into data-driven solutions.
- Build and optimize solutions using Azure and Databricks platforms.
- Apply LLMs, prompt engineering, and MLOps/LLMOps practices.
- Ensure scalable, efficient, and production-ready data solutions.
Key Competencies
- Data Science & Advanced Analytics
- Cloud Data Engineering (Azure)
- NLP & AI/ML Solutions
- Distributed Systems (Spark)
