Data Scientist - Insurance Analytics

About the Role

Our client is seeking a highly skilled Data Scientist with a specialization in insurance analytics to join their fully remote, innovative team. You will be at the forefront of leveraging advanced statistical modeling, machine learning, and data mining techniques to extract actionable insights from complex insurance datasets. This role is critical for informing strategic decisions related to pricing, underwriting, fraud detection, and customer behavior analysis. Joining us means embracing a truly remote work culture, collaborating with a distributed team of experts, and driving significant improvements in business performance through cutting-edge data-driven solutions, all without the need for a fixed physical office.

Key Responsibilities

• Develop and deploy predictive models for insurance applications such as risk assessment, customer lifetime value, and churn prediction.
• Analyze vast datasets to identify patterns, trends, and anomalies, providing key business insights.
• Implement and optimize machine learning algorithms for fraud detection and prevention.
• Collaborate with product, underwriting, and marketing teams to translate business challenges into data science solutions.
• Build and maintain robust data pipelines and ensure data quality and integrity.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.

Requirements

• Advanced degree in a quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.
• Proven experience as a Data Scientist , with a significant focus on the insurance industry.
• Strong proficiency in programming languages like Python or R, and SQL for data manipulation.
• Expertise in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).

Benefits

• Highly competitive salary with annual bonus opportunities.
• Flexible remote working environment with a generous home office stipend.
• Comprehensive private medical, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Access to state-of-the-art analytical tools and continuous learning opportunities.