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Data Scientist at Outsource Company

Outsource CompanyLagos, Nigeria Data and Artificial Intelligence
Full Time
The Outsource Company is a 100 % privately held Nigerian company offering BPO/ITES (Business Process Outsourcing/Information Technology Enabled Services), from its state of art 350+ seat (additional 1000 seat also in plan) call center facility in Abuja, Nigeria. Our world class facility offers end-to-end voice and non-voice BPO services globally. We are a premier company, managing complex transaction processing operations and offering end-to-end solutions. We combine our BPO expertise with research, analytics, risk advisory and process consulting services to deliver a broad suite of offerings to our customers.

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

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