Senior Claims Data Scientist

Our client is a leading innovator in the Insurance sector, and they are looking for a highly skilled Senior Claims Data Scientist to join their advanced analytics team. This is a fully remote position, ideal for an individual based anywhere, with a focus on supporting operations that impact **Kano, Kano, NG**. You will leverage cutting-edge statistical modeling, machine learning, and data mining techniques to analyze vast datasets related to insurance claims. Your primary objective will be to identify patterns, predict future claims trends, detect fraudulent activities, and optimize claims processing efficiency, thereby enhancing profitability and customer satisfaction.

Key Responsibilities: Develop and implement advanced predictive models for claim frequency, severity, and cost estimation. Utilize machine learning algorithms for anomaly detection and fraud identification within claims data. Perform in-depth analysis of historical claims data to uncover insights into risk factors and loss drivers. Design and execute A/B tests and other experiments to evaluate the effectiveness of different claims management strategies. Collaborate closely with claims adjusters, actuaries, and business stakeholders to understand their needs and translate them into data-driven solutions. Build and maintain data pipelines for claims data, ensuring data quality, integrity, and accessibility. Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences through reports and presentations. Stay current with the latest advancements in data science, machine learning, and their applications within the insurance industry. Mentor junior data scientists and contribute to the team's technical growth. Contribute to the development of data visualization tools and dashboards for real-time claims monitoring. The ideal candidate will possess a Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. You should have a minimum of 6 years of hands-on experience in data science, with a significant focus on insurance claims analysis or a closely related domain. Demonstrated expertise in programming languages such as Python or R, and proficiency with SQL and big data technologies (e.g., Spark, Hadoop) are essential. Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical modeling techniques is required. Excellent communication, problem-solving, and critical thinking skills are a must. The ability to work autonomously and collaboratively in a remote team environment is crucial for success in this role.