Lead AI/ML Engineer

• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity

• Develop novel machine learning (ML) algorithms and indicators for time-series forecasting prediction, with applications in actuarial reserving and the development of affordability programs

• Implement state-of-the-art machine learning models and evaluate their performance

• Communicate the performance of the machine learning algorithms across an interdisciplinary team

• Write both internal and external documentation of the novel algorithms, including publications in machine learning and other scientific conferences and journals

• Develop our research and innovation agenda

• Collaborate with the AI team and fellow scientists and engineers.