Role & responsibilities

- Understand business requirements by engaging with business teams
- Data extraction from valuable data sources & automating data collection process.
- Data processing, cleaning, and validating integrity of data to be used for analysis.
- Exploratory data analysis to identify trends and patterns in large amount of data.
- Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc.
- Present insights using data visualization techniques.
- Propose solutions and strategies to various complex business challenges
- Build GenAI models using RAG frameworks for chatbots, summarisation etc.

Develop model deployment pipeline using Lambda, ECS etc

Preferred candidate profile





- Knowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc.
- Experience in data visualization tools like tableau, QlikSense etc.
- Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving.
- Exposure in advanced techniques like GenAI, neural networks, NLP, image, and speech processing.
- Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

📌 Data Scientist (Mumbai)
🏢 ICICI Prudential Life
📍 Mumbai