Remote Insurance Data Scientist

About the Role

Our client is seeking a talented and innovative Remote Insurance Data Scientist to join their expanding data analytics team. In this role, you will leverage advanced statistical and machine learning techniques to extract actionable insights from large datasets, driving improvements in pricing, underwriting, claims management, and customer experience. You will work autonomously within a fully remote environment, collaborating virtually with actuaries, underwriters, and business stakeholders to solve complex challenges and uncover new opportunities within the insurance landscape. This is an exceptional chance to apply cutting-edge data science methodologies in a dynamic industry.

Key Responsibilities

• Develop and deploy predictive models for risk assessment, fraud detection, customer segmentation, and lifetime value.
• Analyze vast datasets to identify trends, patterns, and correlations relevant to insurance operations.
• Design and implement A/B tests and experiments to evaluate product changes and strategies.
• Communicate complex analytical findings and recommendations clearly to non-technical stakeholders.
• Collaborate with IT and engineering teams to ensure data quality and accessibility for analysis.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in insurance.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist, with specific experience in the insurance industry.
• Expertise in statistical modeling, machine learning algorithms, and programming languages (e.g., Python, R).
• Proficiency with big data technologies and database querying (SQL, Spark).
• Strong data visualization and storytelling skills.
• Experience with cloud platforms (AWS, Azure, GCP) is advantageous.

Benefits

• Highly competitive salary and bonus potential.
• Fully remote work arrangement with excellent flexibility.
• Top-tier health, dental, and vision insurance.
• Generous paid time off and parental leave policies.
• Investment in professional development, conferences, and continuous learning.