AI technology, Apache Airflow, AWS Sagemaker, Data extraction, Data Modeling, Data Visualization, HuggingFace, Kendra, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Neural Networks, Pandas, Python Programming, PyTorch, Scikit-learn, SQL, Statistical modeling, TensorFlow, Transformer
We’re seeking a motivated and skilled data scientist to join the ML Solutions team. The team builds the AI models for insurance decisions systems and functions like a startup within an established company. Our data scientists typically hold advanced degrees in diverse quantitative fields and are experts in building and deploying models at scale. The models developed by the team have helped transform and modernize the insurance claims processing across multiple lines of businesses, and the scope of our work is expanding.
The data scientist will be in charge of building and maintaining AI models for insurance decision systems. The candidate should have commanding knowledge of state-of-the-art AI modeling (GBM and XGB, neural nets, model diagnosis, feature importance analysis, experiment design) to build effective models for real-world data and be familiar with fundamentals of modeling (applied probability and statistics, parameter estimation, linear algebra and optimization ) for diagnosis and improvement of model pipelines
The work can be broadly categorized into three modes, and this role will provide opportunities to work on all three.
CCC is transforming the trillion-dollar automotive and insurance industries through the power and scale of our connected data platform. Our cloud-based SaaS solutions leverage the latest in AI, IoT, telematics, customer experience, mobile and digital workflow technologies to create deep, actionable insights that help our clients drive business and change lives.