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 Maharashtra (India)
🏢 ICICI Prudential Life
📍 India