Remote Data Scientist - Insurance Analytics

About the Role

Our client is seeking a highly skilled Remote Data Scientist with a specialization in insurance analytics to join their innovative team. This role is entirely remote, offering you the opportunity to leverage advanced statistical and machine learning techniques to extract actionable insights from vast datasets. You will play a crucial part in optimizing pricing, underwriting, risk assessment, and customer behavior analysis for the company's diverse insurance products. If you are passionate about data, thrive in a remote-first environment, and have a keen interest in the insurance domain, this is an exceptional opportunity to make a significant impact.

Key Responsibilities

• Develop and implement sophisticated statistical models and machine learning algorithms for predictive analysis, risk modeling, and fraud detection.
• Analyze large, complex datasets related to customer behavior, claims patterns, and market trends within the insurance industry.
• Collaborate with business stakeholders to understand their challenges and translate them into data science problems and solutions.
• Design and conduct A/B tests and other experiments to evaluate the effectiveness of implemented models and strategies.
• Communicate complex analytical 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 insurance analytics .

Requirements

• Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
• Proven experience as a Data Scientist , with a strong focus on insurance or financial services analytics.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of SQL, database technologies, and data manipulation techniques.
• Experience with data visualization tools and techniques to present findings effectively.
• Ability to work independently and collaboratively in a remote setting.

Benefits

• Excellent base salary and performance-based bonuses.
• Fully remote working position with global flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for professional development and training.
• Company-provided equipment and home office setup budget.