- Craft innovative AI/ML solutions for clients, shaping customer journeys.
- Collaborate with Sales, Engineering, and Delivery teams to implement GCP solutions.
- Actively shape customer experiences from start to finish.
14 results
Filters
Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.
The Senior Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models. The role involves research, experimentation, and innovation to advance AI capabilities in financial and operational analytics. The position will also mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI solutions.
Manage a team of Data Scientists and Data Analysts to drive product innovation. Champion the use of data and bring ideas to life through a rigorous analytical approach. Define the long-term strategy of the team and create roadmaps for projects.
The Artificial Intelligence Office is seeking a Senior Data Scientist to lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem. You will design and optimize conversational flows, collaborate with stakeholders, and mentor junior data scientists, ensuring scalability, security, and integration with client documentation systems in an Agile environment.
In this role, you will partner with the Platform and Product Business Unit Product Management and Engineering organizations to deliver a transformational AI‑first implementation and adoption experience for ServiceNow’s customers. As an AI-Native AI Architect, Delivery Acceleration, you will work with the product, implementation experts, both internal and external, to design, productize, and pilot agentic & generative AI-first setup and implementation experiences.
We are looking for an experienced Machine Learning Engineer to join our team to develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.
In this strategic role, you will lead high-impact initiatives at the intersection of data, analytics, and artificial intelligence. You will work across global teams to modernize data capabilities, drive AI adoption, and accelerate digital transformation across multiple business functions. Acting as a bridge between business needs, analytics potential, and emerging technologies, you will shape use cases that deliver measurable business value.