Actuarial Data Scientist

We are seeking a highly skilled and motivated Actuarial Data Scientist to join our team. In this role, you will be at the forefront of innovation, developing and implementing cutting-edge AI and data science solutions to transform our actuarial and underwriting functions. You will leverage your expertise in actuarial science, programming, and artificial intelligence to improve the accuracy, efficiency, and insights of our processes. The ideal candidate will have a strong passion for solving complex problems, a deep understanding of both actuarial principles and AI technologies, and the ability to drive significant business impact.

Key Responsibilities:

• Design, develop, and implement AI-powered solutions, including machine learning and deep learning models, to enhance actuarial modeling, pricing, and reserving.
• Utilize large language models (LLMs) to automate and improve actuarial and underwriting workflows, such as data extraction, report generation, and process optimization.
• Collaborate with actuaries, underwriters, and other stakeholders to identify opportunities for AI and automation to address business challenges and improve decision-making.
• Develop and maintain data pipelines and infrastructure to support AI model development and deployment.
• Conduct thorough testing, validation, and monitoring of AI models to ensure accuracy, reliability, and compliance.
• Stay up-to-date with the latest advancements in AI, data science, and actuarial science, and apply them to improve our practices.
• Communicate complex technical concepts and findings to both technical and non-technical audiences.
• Contribute to the development of best practices and standards for AI development and deployment within the actuarial function.

Job Requirements:

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Computer Science, or a related field.
• Strong understanding of actuarial principles, practices, and techniques, including experience in areas such as pricing, reserving, and risk management.
• Proficiency in Python programming, including experience with relevant libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch.
• Experience in developing and deploying AI solutions, including machine learning models (e.g., regression, classification, clustering) and deep learning models (e.g., neural networks, transformers).
• Experience working with large language models (LLMs) and applying them to solve business problems.
• Strong data manipulation and analysis skills, including experience with SQL and database management.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Ability to work independently and manage multiple projects simultaneously.
• Experience working in actuarial responsibilities.
• Preferred: ASA or FSA.
• Preferred: Masters degree in a quantitative field such as Actuarial Science, Mathematics, Statistics, or Data Science.
• Preferred: Experience with cloud computing platforms (e.g., AWS, Azure, GCP).