Insurance Data Scientist

About the Role

Our client is seeking a highly skilled and innovative Insurance Data Scientist to join their forward-thinking, fully remote team. This role is pivotal in leveraging advanced analytical techniques and machine learning to derive actionable insights from complex insurance data. You will work on challenging problems related to pricing, fraud detection, risk modeling, and customer behavior, driving significant improvements across the business. This is an exceptional opportunity for a data expert to make a substantial impact in a flexible, home-based environment, utilizing cutting-edge technologies and methodologies.

Key Responsibilities

• Develop, validate, and deploy predictive models using machine learning and statistical techniques for applications such as fraud detection, risk assessment, and customer segmentation.
• Clean, transform, and analyze large, complex datasets from various sources within the insurance domain.
• Design and conduct experiments to test hypotheses and evaluate the effectiveness of new models or strategies.
• Collaborate with product managers, actuaries, and business stakeholders to identify key business challenges and opportunities where data science can provide solutions.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence relevant to the insurance industry.

Requirements

• Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline.
• 3-5 years of professional experience as a Data Scientist, with a strong preference for experience in the insurance sector.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in data manipulation, statistical modeling, machine learning algorithms, and data visualization tools.
• Strong understanding of insurance products, data structures, and industry challenges is highly desirable.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote working arrangement with flexible hours.
• Comprehensive private medical, dental, and vision coverage.
• Generous pension scheme and life assurance policy.
• Access to cutting-edge technology and continuous professional development opportunities.