Data Scientist

• Acquire deep understanding of the business problems and translate them into appropriate business solutions
• Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google CloudPlatform (GCP).
• Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, anomaly detection, optimization, LLM, and more.
• Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
• Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
• Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.

Data Scientist

Associate Data Science Actuary

Data Science SME – AI/ML

Principal Data Scientist

A&A Data Scientist/Analyst – AI, Automations