Required: • Support the transformation efforts for the North America Actuarial function by developing and maintaining systems and data science tools. • Collaborate with actuaries and team members to understand their needs and implement effective solutions. • Utilize programming languages and software tools to automate data processing and analysis tasks. • Conduct rigorous data analyses and assist in the interpretation of results. • Streamline reporting processes by designing user-friendly dashboards and visualizations. • 2 or more actuarial exams completed from IAI/IFoA/CAS/SOA. Preferred: • Experience and expertise in Data Analytics. • Strong foundation & experience in Data Science & machine learning. • Experience with environments like Databricks, ADLS, Git etc. • Exposure & experience in Data Engineering (Understanding of database: SQL, Azure/AWS etc.). • Experience with structured and unstructured data and text analytics techniques. • Familiarity with GenAI techniques like Prompt Engineering. • Experience with CI/CD pipelines. • Basics of ML Ops and putting into production of data-analytics models.