Data Scientist - Insurance Analytics

About the Role

Our client is looking for a highly skilled Data Scientist specializing in Insurance Analytics to join their forward-thinking, fully remote team. You will leverage advanced statistical modeling, machine learning techniques, and data mining to uncover insights, predict trends, and optimize business strategies within the insurance domain. This role is crucial for driving data-informed decision-making across various departments, including pricing, risk assessment, and customer retention. Working remotely, you will have the autonomy to explore innovative solutions and contribute significantly to the company's competitive edge from anywhere in the UK .

Key Responsibilities

• Develop and implement predictive models for customer behavior, fraud detection, and risk assessment.
• Design and execute A/B tests to evaluate the effectiveness of new products and strategies.
• Clean, transform, and analyze large, complex datasets using advanced analytical techniques.
• Build and maintain data pipelines and dashboards to visualize key performance indicators and insights.
• Collaborate with business stakeholders to understand their challenges and translate them into data science solutions.

Requirements

• Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Mathematics).
• 3+ years of professional experience as a Data Scientist, with a focus on insurance or financial services.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages like Python or R, and experience with SQL and big data technologies.
• Strong understanding of data visualization tools and techniques.

Benefits

• Highly competitive salary and potential for annual bonuses.
• Completely remote work arrangement, offering maximum flexibility.
• Comprehensive private health, dental, and vision insurance.
• Generous annual leave allowance and opportunities for continuous learning.
• Access to cutting-edge technology and a collaborative virtual team environment.