Job Description
Role Purpose:
To support with data-driven decision-making processes and build data & AI solutions by analyzing data to predict, assess risks, and provide actionable insights to support informed decision making.
Key Accountabilities:
1- Data Analysis and Predictive Modeling
- Implement advanced data analytics and predictive modeling techniques to analyze complex datasets to support business objectives
- Analyze large datasets to identify patterns, correlations, and trends
- Perform advanced analytics to extract actionable insights from large data sets
- Maintain predictive models for risk assessment, pricing, and customer segmentation
2- Reporting and Communication
- Utilize data visualization tools and techniques to present findings and insights to stakeholders in a clear and compelling manner.
- Research updates on industry trends and technological advancements in data analytics and predictive modeling
- Collaborate with cross-functional teams to understand business requirements and deliver comprehensive analytical solutions
3- Innovation & Compliance
- Identify data inconsistencies to contribute to the improvement of data quality and reliability
- Create robust data pipelines for efficient data extraction, transformation, and loading (ETL) processes
- Ensure adherence to regulatory standards and company policies for best practices in data science and health insurance
Skills
- Strong background or relevant project/internship experience in data science or analytics
- Statistical Analysis
- Familiarity with AI development
- Proficiency in programming languages such as Python and R.
- Strong understanding of SQL and experience with database technologies
- Familiarity with statistical software such as SAS
- Experience with data visualization tools, preferably Power BI
- Knowledge of data engineering principles and practices is a plus
- A foundational understanding of statistical modelling, machine learning algorithms, and data analysis techniques
Education
Statistics, Mathematics, Actuarial Science, Finance, Management Information Systems (MIS), Software
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