Company Background:

Founded in 2013 by industry veterans, Aureus Analytics is the Customer Intelligence & Experience company that enables insurers to deliver superior customer experience leading to more excellent customer retention, loyalty, and lifetime value. Our proprietary algorithm Sentimeter® uses deep text analytics and AI to measure the customer experience in real-time for all policyholders. We do this by leveraging AI & Machine learning technologies and delivering actionable insights in Natural Language at the point of decision.

Headquartered in Singapore and having its operations in Mumbai, India,, and Hartford, Connecticut, Aureus helps its clients deliver the best customer experience through “Explicit Response + Implicit Response.” Over 60 million policies have been processed through CRUX, which provides a Sentimeter® Score of the customer by using structured and unstructured data. With a dedicated team of SMEs, Data Science, and technology, Aureus focuses extensively on providing the best solutions in the areas of Retention, Cross-Sell, NPS, Claims & Fraud, tapping the mid-market insurance sector in India and the US.

Key Responsibilities:

• 5+ years hands-on experience in the insurance or banking domain with respect to using analytics (statistical modeling / machine learning) for solving business problems
• Experience in working closely with business users to understand their requirements, evaluate available data sources, and suggest data science-based solutions to solve business problems
• In-depth understanding of algorithms like linear and logistic regression, decision trees, random forest, gradient boosting, clustering, neural networks, and  time series forecasting, and experience of using them to solve real-world problems

Key Requirements:

• Certificate / Diploma in Actuarial Science or Economic Planning based on Statistics
• Bachelor’s degree in Engineering / Statistics / Economics / Mathematics
• Post-graduation in a field related to mathematics or analytics