This role is ideal for someone who enjoys solving real-world problems using machine learning, statistical modeling, and business intelligence. You'll collaborate with actuaries, underwriters, and technical teams to integrate data science into core business processes. If you're looking to grow your career in a dynamic, data-rich environment, this is the role for you.
Key Responsibilities :
- Insightful Analytics – Analyze complex datasets to uncover trends, correlations, and actionable insights that inform business decisions.
- Predictive Modeling – Develop and operationalize machine learning models to improve forecasting, risk assessment, and customer engagement.
- Scalable Data Infrastructure – Build and maintain robust data pipelines for processing structured and unstructured data efficiently.
- Business Intelligence Solutions – Design and implement BI dashboards and reporting tools using the Microsoft BI stack and cloud platforms.
- Cross-Functional Collaboration – Work closely with actuaries, underwriters, and business stakeholders to embed data science into operational workflows.
- Process Automation – Automate recurring data processes and monitor performance to ensure reliability and scalability.
- Technical Excellence – Maintain high standards in coding, documentation, and testing across analytics and reporting platforms.
Job Experience and Skills Required :
Bachelor's degree or diploma in Informatics, Computer Science, Statistics, Mathematics, or IT.Minimum 4 years experience in data science or analytics, preferably in insurance.Proficiency in Python, R, Java, C++, C#, and SQL (T-SQL).Experience with Power BI, Azure Data Factories, Azure Synapse Analytics.Strong understanding of statistical concepts, machine learning, and data modeling.Excellent communication and problem‑solving skills.Apply now!
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