Data Scientist at Reliance HMO

Reports To: Team Lead, Claims and Analytics
Expected Start Date: Q2 2020

Key Responsibilities

• Identifying, analyzing, and interpreting claims, provider and enrollee data trends or patterns based on past or historical data
• Collate and interpret data, analyzing results from varied sources
• Generates periodic reports (daily, weekly and monthly) such as Claims frequency reports, Provider Quality Assurance reports, Enrollee / Client usage reports etc. as may be required by the management team.
• Monitor Claims team performance relative to set targets by tracking MLRs and reporting to the Business
• Research and develop statistical learning models for claims data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends that has direct impact on claims management and claims data analytics
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Perform any other duty as may be communicated by Management Team.

Minimum Qualifications

• Bachelor's Degree in any of the following disciplines: Engineering, Accounting, Economics, Banking & Finance or other numerate discipline
• 2-3 years relevant work experience, from related sector/ organization with demonstrable understanding of data analytics.
• Relevant work experience in a similar role is an added advantage
• Excellent Numeracy, Analytical and Problem-solving skills.
• Good working knowledge of Power BI, Microsoft Office suite: Word, Excel and PowerPoint.