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

• Develops and implements predictive models using statistics/machine learning techniques for solving different business problems
• Identifies data driven insights and actionable recommendations to influence business decisions by effectively communicating modeling concepts and results across functional groups
• Develops analytic “story” and visual presentation strategies to ensure data is conveyed in meaningful and interpretive formats for all audience levels.
• Analyzes structured and unstructured data from a number of sources to identify drivers
• Reviews results, identifies variances to planned performance, analyzes causes of variance and make actionable recommendations to frontline leaders


• Proficiency in open data science tool kits, like R, Python is a must
• Experience analyzing third party and syndicated data for benchmarking
• Experience with Microsoft Office Suite (Excel, PowerPoint)
• Strong oral communication, administrative and business writing skills
• Advanced time management skills including ability to handle multiple projects, prioritize and organize
• Experience Telematics, Cognitive Computing, Deep Learning, NLP, Image Analytics will be strongly preferred
• Experience in solving problems across function like Claims, Pricing, Customer Analytics or Life, P&C LoBs will be preferred
• Proficiency in distributed computing tools like MapReduce/ MPI (Cosmos/ Hadoop/ Spark/ Hive etc) is a plus
• Exposure to Big Data Ecosystem (HADOOP, PIG, HIVE, PYTHON, SPARK etc) would be a plus

Additional Information

Primary Skills
• Bachelors or Masters/MBA degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research or related field) and 2-4 years of related experience
• Experience with leading/mentoring a team in the areas of technology as well as problem solving is a plus
• Experience with descriptive statistics and exploratory data analysis
• Experience with inferential and predictive statistics (hypothesis testing, confidence intervals, regression, time series, decision trees, clustering and classification, text mining)
• Performs and evaluates trend analysis using basic mathematical concepts, formulas, models, techniques

Job reference: JO-210319-249966

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