Top Data & Analytics Jobs

The Principal Associate in Machine Learning will lead the design and implementation of observability tools for generative AI platforms, utilising advanced analytics and machine learning. Responsibilities include building APIs and SDKs for observability, enhancing AI model performance, and driving innovative practices in ML governance.

As a Lead Machine Learning Engineer, you will focus on automating model governance, building optimized data pipelines, collaborating with cross-functional teams, leveraging cloud technologies, and advocating for best practices in software and machine learning engineering.

The Data Scientist will partner with a team to build machine learning models for fraud prevention at Capital One. Responsibilities include analyzing data, leveraging technologies like Python and AWS, and translating complex analysis into business goals. This role requires creativity, customer focus, and strong statistical skills.

As a Senior Associate Data Scientist at Capital One, you will leverage advanced technologies such as NLP and machine learning to build models using complex data sources. You will collaborate with engineers and business teams to develop innovative solutions that improve customer servicing and derive insights from data. The role involves engaging with both structured and unstructured data, while also defining data science solutions and guiding the creation of training datasets.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies to support Capital One's Data Strategy. Responsibilities include collaborating across business lines, managing the ontology and data modeling roadmap, leveraging technology for integration, mentoring associates, and communicating the value of semantic technologies.

As a Principal Data Scientist at Capital One, you will lead initiatives to develop and deliver AI-powered products that enhance customer interactions. Your work will involve collaboration with cross-functional teams to build machine learning models using advanced technologies, particularly in Natural Language Processing, to improve customer experiences through innovative solutions.

The Principal Data Scientist will collaborate with cross-functional teams to develop and deliver AI-driven products, focusing on natural language processing and machine learning algorithms. Responsibilities include building and deploying models in scalable production systems to enhance customer experiences.