MICHAEL PAGE

Data Scientist Analyst (Insurance)

Job Details

Company Overview

The ideal candidate will have a strong background in data analysis, machine learning, and data visualization using tools like Python, Power BI, and Tableau. The role involves developing and deploying machine learning models, applying predictive and prescriptive analytics, and creating data-driven insights to address business challenges

Client Details

This innovative insurance company offers a wide range of products and services, focusing on digital transformation and customer-centric solutions. It provides life, health, and general insurance across various markets, emphasizing ease of use and personalized experiences for its policyholders.

Description

Develop, deploy, and refine machine learning models for healthcare data classification using Python. Apply predictive and prescriptive analytics to achieve measurable outcomes.
Identify business challenges and devise tailored data analytics strategies to address them.
Create interactive and informative dashboards using Power BI and Tableau to provide actionable insights to stakeholders.
Work closely with cross-functional teams to integrate data insights into business operations and decision-making processes.
Ensure the quality and integrity of data used for analysis by implementing robust data preprocessing and validation processes.
Present complex data insights in a clear and concise manner to both technical and non-technical stakeholders.

Profile

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
Proficiency in Python programming, Power BI and Tableau for data visualization and dashboard creation.
Familiarity with machine learning algorithms and their applications.
Strong analytical and problem-solving skills with the ability to interpret complex data sets.
Experience in applying predictive and prescriptive analytics to drive business outcomes.
Proven experience as a Data Analyst or Data Scientist, preferably in the healthcare sector.
Demonstrated ability to work with large datasets and derive actionable insights.

Job Offer