Work Location

Koramangala, Bengaluru

Work Mode: Work from Office

Business Objectives

Maintain and enhance existing machine learning models in production.
Build new use cases using advanced machine learning techniques to drive measurable business impact.

Key Responsibilities

Perform end-to-end data science activities including data preparation, feature engineering, model development, validation, and deployment.
Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions.
Monitor model performance post-deployment and drive continuous improvement.
Work closely with data engineering teams to support scalable deployment in the AWS cloud environment.

Technical Skills Required

Data Science & Machine Learning: Strong understanding of statistical modeling, machine learning algorithms, and predictive modeling.
Domain Knowledge: Prior experience in the Insurance domain is a plus, not mandatory.
Programming: Strong hands-on experience in Python and good working knowledge of SQL.
Cloud Exposure: Experience with AWS services for ML model deployment and integration.

Preferred Qualifications

Data Scientist: 3+ years of hands-on experience in Data Science and ML model development.
Senior Data Scientist: 3+ years of hands-on experience in advanced ML model development.
Strong analytical and problem-solving skills.
Ability to work effectively in a collaborative, office-based environment.

Data Scientist