Data Scientist

This role is ideal for someone who enjoys solving real-world problems using machine learning, statistical modeling, and business intelligence. Youll collaborate with actuaries, underwriters, and technical teams to integrate data science into core business processes. If youre 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 :

Bachelors 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!