• Application Deadline: Tue, 26 Mar 2024 00:00:00 GMT
• Position: Data Scientist


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 3 - 5 years


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Location - Lagos

Salary - N450K

• Responsible for transforming every unit of the Agency into a data-driven organization. You will play a crucial role in translating our data into insights & helping us leverage the data to identify opportunities for product improvements, spot trends, as well as recognize potential issues and offer solutions.


• Gather and integrate data from various sources, such as claims, medical records, customer databases, and external sources.


• Work with different units to identify data analytics needs for the different business units


• Perform exploratory data analysis to uncover trends, patterns, cost drivers and conduct statistical analysis and hypothesis testing to identify factors affecting utilization and outcomes.


• Perform data profiling to identify anomalies


• Develop models to predict claim costs and assess the impact of different policy provisions.


• Ensure data quality by cleaning, preprocessing, and transforming data for Actuarial analysis.


• Develop predictive models to assess the risk associated with different insured groups and sub-groups.


• Build actuarial models to estimate premiums, loss ratios, and reserves. This function would be done with the Actuarial Unit.


• Use data analytics to improve customer experience by personalizing insurance offerings, optimizing communication, and providing recommendations for wellness programs


• Create fraud detection models and algorithms to detect and prevent fraudulent claims, such as billing irregularities and false claims.


• Segment policyholders data based on demographics, health conditions, and other factors to tailor insurance offerings and marketing strategies.


• Analyse customer behaviour to improve retention and cross-selling opportunities.


• Create models to manage and mitigate health insurance risks, including reserve estimation, reinsurance decisions, and risk adjustment strategies.


• Analyse healthcare utilization patterns to optimize network design, provider contracts, and benefit design.


• Create reports and dashboards that provide insights into key performance indicators, claims trends, and business metrics for management including Monitoring & Evaluation unit and the Actuarial unit.


• Ensure that data analysis and modelling activities comply with industry regulations and standards.


• Promote a data culture within the Agency


• Continuously evaluate and refine data models and analytics processes to enhance accuracy and efficiency