| Job Location | Saudi Arabia |
| Education | Graduate; Post Graduate |
| Salary | Not Mentioned |
| Industry | IT - Software |
| Functional Area | Not Mentioned |
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 ModelingImplement advanced data analytics and predictive modeling techniques to analyze complex datasets to support business objectivesAnalyze large datasets to identify patterns, correlations, and trendsPerform advanced analytics to extract actionable insights from large data setsMaintain predictive models for risk assessment, pricing, and customer segmentation2- Reporting and CommunicationUtilize 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 modelingCollaborate with cross-functional teams to understand business requirements and deliver comprehensive analytical solutions3- Innovation & ComplianceIdentify data inconsistencies to contribute to the improvement of data quality and reliabilityCreate robust data pipelines for efficient data extraction, transformation, and loading (ETL) processesEnsure adherence to regulatory standards and company policies for best practices in data science and health insuranceSkills:Strong background or relevant project/internship experience in data science or analyticsStatistical AnalysisFamiliarity with AI developmentProficiency in programming languages such as Python and R.Strong understanding of SQL and experience with database technologiesFamiliarity with statistical software such as SASExperience with data visualization tools, preferably Power BIKnowledge of data engineering principles and practices is a plusA foundational understanding of statistical modelling, machine learning algorithms, and data analysis techniquesEducation:Statistics, Mathematics, Actuarial Science, Finance, Management Information Systems (MIS), SoftwareYou will be redirected to the company website to apply for this position
Keyskills :
SQL Power BI Statistical Analysis
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