Location: Bangalore/Bengaluru
Salary: Open
Employment Type: Permanent
Sub-industry: Insurance
Function: Technology

Company Overview

largest publicly held personal lines property and casualty insurer in the United States.

Job Description

The person will lead Data Science work to be delivered out of India, across a variety of problems and apply creative solutions using principles and practices of Data Science and Machine Learning, with domain experience, leading to actionable recommendations.


This role is responsible for leading the use of data to make decisions as a manager of medium size teams of Data Scientists and analytics personnel.
The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists.
Performs and evaluates trend analysis using basic mathematical concepts, formulas, models, techniques. Review, evaluate, and make recommendations on appropriateness of techniques to stakeholder/senior leadership
Develops and implements data driven decisions using statistical/data mining/machine learning techniques for evaluating business problems
Uses and learns a wide variety of tools and languages to achieve results (e.g., R, Python, Hadoop)

Bachelors or Master’s degree in a quantitative discipline (applied mathematics, statistics, economics, computer science, operations research, etc.) and 12 – 15 years of related experience
Experience in managing end-to-end advanced analytics projects with clear business outcomes and proven contributions to such projects is needed
Experience with exploratory data analysis, predictive modeling & machine learning using statistical/machine learning techniques and tools (R, Python, H2O, Domino, XGBoost, GBM, etc.)
Experience in managing and manipulating large, complex datasets; Hadoop, Hive, etc.
Good knowledge of the domain and business problems worked on with a clear understanding of the application of advanced analytics in general and that of the project in particular will be a plus
Exposure to Insurance industry will be an added advantage

Job reference: JO-210112-246632

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